189 Sdtm Jobs - Page 6

Hi, Wishes. Pleasure connecting with you. Job Summary: We are hiring mid-level Statistical Programmers (4 - 8 years of experience) with strong hands-on expertise in SAS programming for clinical trials. The role requires experience in SDTM and ADaM dataset creation, TLF programming, and knowledge of CDISC standards. You will be working on end-to-end programming activities for Phase IIV clinical studies. Mode of Work : WFO Exp Range : 4 to 8 yrs Work Location : CHENNAI CTC Range : Best in the industry ***** Looking for SHORT JOINERs ***** Key Responsibilities: SDTM Programming: Create and validate SDTM datasets as per CDISC guidelines. Perform CRF annotation and author/review specifications . Generate Define.xml and ensure compliance using Pinnacle 21 . Work on Study Data Reviewers Guide (SDRG) and submission packages. ADaM Programming: Develop ADaM datasets for Safety and Efficacy analysis. Write and validate ADaM specifications and ensure alignment with SAP. Prepare ADaM Define.xml and reviewer documentation. TLF Programming: Generate and QC Tables, Listings, and Figures (TLFs) as per SAP. Use SAS Graph and macros to build clinical outputs. General Programming & Project Work: Independently write or modify SAS programs from scratch or using templates. Develop or enhance custom macros to streamline programming tasks. Work in both production and validation programming roles. Handle multiple studies simultaneously , ensuring high-quality deliverables. Participate in integration and pooling (ISS/ISE) of datasets. Work on CRT packages and electronic submission readiness. Required Skills: Strong knowledge of SAS Base, SAS/STAT, SAS/GRAPH in a clinical trial setting. Solid understanding of CDISC SDTM and ADaM standards . Experience with Define.xml creation and validation tools like Pinnacle 21 . Hands-on exposure to multiple therapeutic areas and clinical phases . Experience in ISS/ISE and integrated datasets is a strong plus. Nice to Have: Familiarity with tools such as Define.xml Generator, SAS Clinical Standards Toolkit . Knowledge or EXP in R Programming is OPTIONAL Exposure to MACRO programming and reusable code frameworks . Understanding of regulatory requirements for FDA/EMA submissions . What We Offer: Projects with top global pharma clients. Work with a high-performing and collaborative clinical data team. Competitive compensation, learning, and growth opportunities. If Interested, click APPLY ONLINE for IMMEDIATE response. Best, ANANTH | GSN HR | 9840035825 | Google review : https://g.co/kgs/UAsF9W

eClinical Solutions helps life sciences organizations around the world accelerate clinical development initiatives with expert data services and the elluminate Clinical Data Cloud – the foundation of digital trials. Together, the elluminate platform and digital data services give clients self-service access to all their data from one centralized location plus advanced analytics that help them make smarter, faster business decisions. Overview Quality Control Specialists are operationally responsible for performing quality control activities associated with Biometrics client’s deliverables. Quality Control Specialists will maintain project level perspective, focus, and communicate effectively as the quality control subject matter expert. Key Tasks & Responsibilities Perform quality control activities (i.e. documentation review, testing) of Biometrics client’s Rave EDC and Data management deliverables including eCRFs, Data Validation Specification checks, Custom functions, Data Extracts, Data Integrations, Data Mapping, Custom Data Management Reports and listings Participate in the design and development of quality control procedures Manage documentation created during the QC process Liaise with study teams and other staff to fulfill job responsibilities and activities Develop and lead execution of training and knowledge transfer opportunities for quality control team Inform the Manager of training issues, project activities, quality issues and timelines as directed Collaborate with the project team to ensure the deliverables are completed on time with high quality Other duties as assigned CANDIDATE’S PROFILE Education/Language Four-year college degree or higher preferred, analytic discipline a plus (Computer Science or Health related field) Excellent knowledge of English Professional Skills & Experience Minimum 3-5 years in Pharmaceutical/Biotechnology industry or equivalent Knowledge of ICH/GCP guidelines, 21 CFR Part 11, clinical trial methodology, software development lifecycle activities and industry standards (CDASH, SDTM) preferred Experience performing quality control activities of clinical trial deliverables preferred Excellent verbal and written communication skills Detail oriented, ability to multitask with strong prioritization, planning and organization skills Excellent team player Technical Skills & Experience Extensive knowledge of Medidata Rave EDC platform and other modules of Rave preferred Familiarity with Databases: SQL Server, Oracle highly preferred Extensive validation experience of eCRFs, Edit Checks, Custom Functions, Data Management reports and good understanding of Database structures and Programming languages Proficiency in Microsoft Office Applications, specifically MS Word, MS Excel and PowerPoint Show more Show less

Manager, CSAR - Global Library Manager What you will do The Global Library Manager will report to the Sr. Manager, Clinical System and Analytical reporting and will be focused on supporting Global Library activities. They will provide Global Library review at the study level and coordinate closely with the Lead Data manager to ensure the use and adherence to Data Element Standards (DES). The Global Librarian will provide database design services to clinical study teams, in alignment with Company’s standard libraries and design practices. Ensure the standards libraries are maintained appropriately. Create and maintain standard CRFs and Edit checks in CDMS(RAVE) or other related technology. The position is expected to partner effectively with other CSAR Operations and cross functional staff to seamlessly ensure high quality results, internal and external clinical systems, and other CSAR activities related to the use electronic data capture technology. The position will be responsible for quality and results at the study and library level. The CSAR Global Library Manager will also be expected to help deliver large system transformation projects, with a focus on project management, contribution of subject matter expertise, partner engagement, and organisational change. The successful candidate will be a strong leader with proven ability to influence partners, while also acting as an individual contributor on study specific and general CSAR/Global Development Operations projects or operational work. Proven capability of providing support for study results. Has operational experience with clinical database management systems and allied technologies (e.g., Rave EDC, Veeva EDC).. Responsibilities include, but are not limited to, the following: Support of clinical trial platform technologies Support decision-making by acting as a data scientist bringing awareness to patterns and analytical insight. Leading and / or coordinating the definition of studies in clinical trial databases or clinical systems Coordinating and providing programming support to Clinical Study Teams Maintaining standard business processes within GDO to ensure compliance to regulatory bodies Acting as a technical point of contact for systems deliverables on defined programs Providing technical and business process input / expertise on new and emerging technologies Develop, review and implement policies, SOPs and associated documents Assist in preparing for and responding to audit findings (internal or external). What we expect of you We are all different, yet we all use our unique contributions to serve patients. The professional we seek is a person with these qualifications. Basic Qualifications: Master’s degree in life science, computer science, business administration or related field and 4 to 6 years of experience (OR) Bachelor’s degree in life science, computer science, business administration or related field and 6 to 8 years of experience (OR) Diploma in life science, computer science, business administration or related field and 10 to 12 years of experience Preferred Qualifications: Advanced degree in life science, computer science, math, statistics, business administration or related field Broad knowledge / work experience in data management / programming in the Pharmaceutical or Biotech arena General project management and planning experience Experience in oversight of outside vendors (CRO’s, central labs, imaging vendors, IRT vendors, etc.) Knowledge: Good Clinical Practice Strong understanding and experience in the use of performance management techniques, measures, problem-solving and analytical thinking. Drug development and clinical trials processes Data management processes Programming of clinical trial databases and applications Systems development lifecycle Programming Languages Project planning and management Quality management Regulatory filings and inspections Understanding of CDISC and SDTM Process improvement methodologies What you can expect of us As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we’ll support your journey every step of the way. In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards. Apply now and make a lasting impact with the Amgen team. careers.amgen.com As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together, we compete in the fight against serious disease. Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

Position Summary The Clinical Data Manager II manages all aspects of the clinical trial data management process from study start up to post database lock for assigned projects under some supervision. Standard Operating Procedures / Work Instructions (SOPs/WIs); regulatory directives; study specific plans and guidelines will be followed. This position will also oversee and/or perform database development and testing. Essential functions of the job include but are not limited to: Primary Data Management (DM) contact (Lead DM role) and/or contributor for assigned clinical project(s) / program(s), ensuring that there is back-up, continuity, responsiveness, and that tasks are performed in a timely manner. May support another Lead DM as a back-up and/or team member. May perform data entry for paper-CRF studies, as needed May perform quality control of data entry Provide input into timelines. Ensure that clinical data management deadlines are met with quality. May assess resource needs for assigned projects, as needed. Develop CRF specifications from the clinical study protocol and coordinate the review/feedback from all stakeholders May assist in building clinical databases Conduct database build UAT and maintain quality controlled database build documentation. Oversee overall quality of the clinical database. Specify requirements for all edit check types e.g. electronic, manual data review, edit checks, etc. Responsible for creating, revising, appropriate versioning and maintaining data management documentation. Oversee completeness of data management documentation for the Trial Master File Train clinical research personnel on the study specific CRF, EDC, and other project related items as needed Review and query clinical trial data according to the Data Management Plan Perform line listing data review based on the guidance provided by the sponsor and/or Lead DM Run patient and study level status and metric reporting Perform medical coding of medical terms relative to each other in order to ensure medical logic and consistency Coordinate SAE/AE reconciliation Liaises with third-party vendors such as external data and EDC vendors in a project-manager capacity in support of timelines and data-related deliverables May assist with SAS programming and quality control of SAS programs used in the Data Management department Identify and troubleshoot operational problems, issues, obstacles, and barriers for studies based on metrics data, audit reports, and input from project team members and other stakeholders May assist in reviewing and providing feedback on protocols, Statistical Analysis Plans (SAP) and Clinical Study Reports (CSRs), if required by the project Participate in the development and maintenance of Standard Operating Procedures (SOPs) and corresponding process documentation related to data management and database management activities May attend strategy meetings, bid defense prep meetings, bid defenses, capability presentations, potential client engagement meetings May review Request for Proposals (RFP), proposals, provide project estimates Trains and ensures that all data management project team members have been sufficiently trained Communicate with study sponsors, vendors and project teams as needed regarding data, database or other relevant project issues May present software demonstrations/trainings, department/company training sessions, present at project meetings May require some travel Perform other duties as assigned Qualifications Minimum Required: Bachelors and/or a combination of related experience Other Required 5+ years’ Clinical Data Management experience or demonstrated aptitude in the key skills for the role Proficiency in Microsoft Office: Word, Excel, PowerPoint, Outlook Able to handle a variety of clinical research tasks Excellent organizational and communication skills Must be able to read, write, speak fluently and comprehend the English language to enable communication across Precision for Medicine and with clients Experience in utilizing a clinical database management system Broad knowledge of drug, device and/or biologic development and effective data management practices Ability to undertake occasional travel Preferred Understanding of dictionary medical coding (MedDRA and WHODrug) Understanding of CDISC standards (CDASH, SDTM, ADaM, etc.…) Oncology and/or Orphan Drug therapeutic experience Any data provided as a part of this application will be stored in accordance with our Privacy Policy. For CA applicants, please also refer to our CA Privacy Notice. Precision Medicine Group is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, age, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status or other characteristics protected by law. If you are an individual with a disability and require a reasonable accommodation to complete any part of the application process or are limited in the ability or unable to access or use this online application process and need an alternative method for applying, you may contact Precision Medicine Group at QuestionForHR@precisionmedicinegrp.com. It has come to our attention that some individuals or organizations are reaching out to job seekers and posing as potential employers presenting enticing employment offers. We want to emphasize that these offers are not associated with our company and may be fraudulent in nature. Please note that our organization will not extend a job offer without prior communication with our recruiting team, hiring managers and a formal interview process. Show more Show less

Roles and responsibilities: 1) Primarily responsible for quality and timely delivery of SDTM and ADaM artifacts (Specifications, datasets, cSDRG, ADRG) and TFLs 2) Read and understand Clinical study protocol, Statistical Analysis Plan, Case Report Form (CRF), specifications and other study related documents. 3) Develop SAS programs to produce Analysis datasets, statistical tables, graphical representations, and data listings for individual study reports in accordance with the Statistical Analysis Plan (SAP) 4) Develop validation programs to validate outputs produced by other team members and perform validation on program code of other team members. 5) Provide support to Data Management in developing Edit check programs, listings or ad hoc reports as required 6) Develop Debug Utility macros for reusability and efficiency Skill Set - 1)Experience working on ADAM and TFL deliverables on multiple therapeutic areas and phases in clinical trials. 2) Experience creating and working with Utility Macros 3) Experience creating specifications 4) Experience with CDSIC standards including CDASH or SDTM/ADaM 5) Ability to work independently and as part of a team 6) Being open to new learnings and sharing with team members 7) Excellent communication skills [Written, Verbal, Interpersonal and organizational skills] 8) Proficient in using SAS EG/Studio for programming 9) Familiar with Unix environment and programming 10) Familiarity with multiple statistical procedures and functions to create TFLs Show more Show less

Description JD: Data Manager, Clinical Data Management 10-15 years industry experience Do you possess a mindset to accelerate Clinical Trials using Data and Analytics, do you believe in extreme disruption of the clinical data management and clinical operations process? If yes, Saama is looking out to hire you as we believe it should not take this long to get Drugs out to Market, we believe data and analytics powered by Machine Learning and Artificial Intelligence if put to proper use within Clinical Operations and Data Management organizations can bring significant time and outcome savings. We have re-imagined data-management processes and helped organizations significantly bring down the time it takes to lock a database by up to 95% for Vaccine studies, we don’t want to stop here, we want to recognize process inefficiencies in clinical operations and data management and disrupt them. We are firm believers in re-imagining data management and analytics, what we have done so far is just scratching the surface, a lot more has to be done with you on our team leading some of these transformational initiatives. Product Owner acts as Data Management SME and serves as the main point of contact for customers to implement clinical solutions. You will work closely with Clinical trial sponsors, CROs at the executive and study team level to deliver Saama solutions to our customers. Responsibilities Drive customer implementations to successful launch by providing data management inputs wherever necessary. Work with implementation resources, product, and engineering teams onshore and offshore to deliver innovative solutions to customers. Consult with business leaders to develop and understand the complex and diverse data management needs required for the project. Understand the role of the project in the clinical landscape and determine how changing business needs will affect the project. Collaborate with the customer and internal resources to understand usage and adoption trends and impact increased application use. Partner with Business development and customer success managers to implement solutions, estimate effort and help set customer expectations. Partner with Product Management to help align real-world customer feedback with the product roadmap. Perform the industry research to identify clinical development needs. Requirements Bachelor or master’s degree in computer science or life science related discipline with IT/CRO/Pharma experience. Experience working with EDC, IRT systems and integrations, third party data handling and other clinical systems implementation. Experience in Clean patient tracker, data review, missing pages, data quality checks, 3rd party data reconciliation and use of business intelligence tools like Cognos, Oracle, BI, Tableau, Spotfire, QlikView, Informatica. Familiar with clinical trial data and related workflows. Good understanding of CDISC standards (CDASH, SDTM) and data mappings/transformations. Programming knowledge in SQL or SAS desired. Excellent understanding of common industry standard business practices related to clinical trials (study set up, study conduct, clinical operations process, data management review and reporting). Excellent at translating customer business requirements into enterprise solutions. Proven track record of driving customer success and operating at the executive and department levels within complex customer environments. Work Environment This job operates in a professional office environment. This role routinely uses standard office equipment, including but not limited to, computers, phones, and photocopiers. Physical Demands This position requires the frequent and repetitive use of a computer, keyboard, and mouse. Hand and finger dexterity is required. Other Duties Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice. EEO Saama Technologies, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, and transfer, leaves of absence, compensation, and training. Show more Show less

Position Summary: The Clinical Data Manager II manages all aspects of the clinical trial data management process from study start up to post database lock for assigned projects under some supervision. Standard Operating Procedures / Work Instructions (SOPs/WIs); regulatory directives; study specific plans and guidelines will be followed. This position will also oversee and/or perform database development and testing. Essential functions of the job include but are not limited to: Primary Data Management (DM) contact (Lead DM role) and/or contributor for assigned clinical project(s) / program(s), ensuring that there is back-up, continuity, responsiveness, and that tasks are performed in a timely manner. May support another Lead DM as a back-up and/or team member. May perform data entry for paper-CRF studies, as needed May perform quality control of data entry Provide input into timelines. Ensure that clinical data management deadlines are met with quality. May assess resource needs for assigned projects, as needed. Develop CRF specifications from the clinical study protocol and coordinate the review/feedback from all stakeholders May assist in building clinical databases Conduct database build UAT and maintain quality controlled database build documentation. Oversee overall quality of the clinical database. Specify requirements for all edit check types e.g. electronic, manual data review, edit checks, etc. Responsible for creating, revising, appropriate versioning and maintaining data management documentation. Oversee completeness of data management documentation for the Trial Master File Train clinical research personnel on the study specific CRF, EDC, and other project related items as needed Review and query clinical trial data according to the Data Management Plan Perform line listing data review based on the guidance provided by the sponsor and/or Lead DM Run patient and study level status and metric reporting Perform medical coding of medical terms relative to each other in order to ensure medical logic and consistency Coordinate SAE/AE reconciliation Liaises with third-party vendors such as external data and EDC vendors in a project-manager capacity in support of timelines and data-related deliverables May assist with SAS programming and quality control of SAS programs used in the Data Management department Identify and troubleshoot operational problems, issues, obstacles, and barriers for studies based on metrics data, audit reports, and input from project team members and other stakeholders May assist in reviewing and providing feedback on protocols, Statistical Analysis Plans (SAP) and Clinical Study Reports (CSRs), if required by the project Participate in the development and maintenance of Standard Operating Procedures (SOPs) and corresponding process documentation related to data management and database management activities May attend strategy meetings, bid defense prep meetings, bid defenses, capability presentations, potential client engagement meetings May review Request for Proposals (RFP), proposals, provide project estimates Trains and ensures that all data management project team members have been sufficiently trained Communicate with study sponsors, vendors and project teams as needed regarding data, database or other relevant project issues May present software demonstrations/trainings, department/company training sessions, present at project meetings May require some travel Perform other duties as assigned Qualifications: Minimum Required: Bachelors and/or a combination of related experience Other Required: 5+ years’ Clinical Data Management experience or demonstrated aptitude in the key skills for the role Proficiency in Microsoft Office: Word, Excel, PowerPoint, Outlook Able to handle a variety of clinical research tasks Excellent organizational and communication skills Must be able to read, write, speak fluently and comprehend the English language to enable communication across Precision for Medicine and with clients Experience in utilizing a clinical database management system Broad knowledge of drug, device and/or biologic development and effective data management practices Ability to undertake occasional travel Preferred: Understanding of dictionary medical coding (MedDRA and WHODrug) Understanding of CDISC standards (CDASH, SDTM, ADaM, etc.…) Oncology and/or Orphan Drug therapeutic experience Any data provided as a part of this application will be stored in accordance with our Privacy Policy. For CA applicants, please also refer to our CA Privacy Notice. Precision Medicine Group is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, age, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status or other characteristics protected by law. If you are an individual with a disability and require a reasonable accommodation to complete any part of the application process or are limited in the ability or unable to access or use this online application process and need an alternative method for applying, you may contact Precision Medicine Group at QuestionForHR@precisionmedicinegrp.com. It has come to our attention that some individuals or organizations are reaching out to job seekers and posing as potential employers presenting enticing employment offers. We want to emphasize that these offers are not associated with our company and may be fraudulent in nature. Please note that our organization will not extend a job offer without prior communication with our recruiting team, hiring managers and a formal interview process. Show more Show less

Pharmaceutical & Life Sciences Full-Time Job ID: DGC00485 Chennai, Tamil Nadu 0-3 Yrs ₹4.5 - ₹7.5 Yearly Job description Role & responsibilities: Overseeing the collection, validation and processing of clinical trial data. Developing and implementing data management procedures for clinical trials. Supporting and facilitating the review of medical coding for validity and completeness. Ensuring compliance with applicable regulations, protocols and standard operating procedures in India. Maintain the highest data quality standards throughout the data lifecycle, from data collection to database lock. Stay updated on industry best practices, technological advancements and regulatory requirements related to clinical data management. Preferred candidate profile Certification in clinical data management (like CCDM). Knowledge of CRF design, MS Project and analytical capabilities. Knowledge of CDISC standards and data interchange formats (e.g., SDTM, ADaM). Familiarity with clinical trial design and basic knowledge of regulatory guidelines (FDA/CFR, ICH/GCP). Understanding of data privacy and protection regulations (e.g., GDPR). Effective communication and interpersonal skills to collaborate with other teams.

Summary The purpose of the role is to inventory all of the various data flowing into, across, and out of Novartis Statistical Compute Environments (SCE) and document data modalities, flows, storage, mappings and transformations, as a member of the SCAPE project team. The SCE is under development and will ultimately be used by the Development Advanced Quantitative Sciences (AQS) business domain. This role will collaborate with other SCAPE project workstreams and team members to ensure reliable and efficient data flows are established, documented and maintained according to project timelines and budget. Sound knowledge and experience in working with statistical compute and data science platforms Solid understanding of clinical trial processes and leveraging quantitative sciences and toolsets in regulatory and exploratory pathways Understanding of different data modalities (ex. Biomarkers, Omics, Imaging) Strong knowledge of Clinical data standards (CDISC – SDTM, ADAM, USDM) About The Role Key Responsibilities: Work across Business and IT to identify and document all data types, modalities, forms, etc. across current and future SCEs, including data from upstream and downstream systems relative to the SCEs. Assist SCAPE Project workstreams and team members to understand detailed data types, flows, and transformations relevant to the SCE so that SCE requirements are thoroughly understood and the SCAPE SCE solution delivery is of high quality and complete. Identify opportunities to optimize data flows and data transformations, increasing value to the Business. Take accountability for delivery of specific components / use cases for the SCE Ensure documented data flows and transformations support the development, execution and operations of the SCE Ensure peer review and sign off documentation. Coordinate with all other workstreams on the SCAPE project to deliver a quality SCE on time and within budget Education Essential Requirements Bachelor’s degree in computer science, Computer Engineering or related technical discipline or equivalent experience demonstrated Experience 7 years’ experience working in an IT environment with experience working in Biostats and quantitative science data platforms in Pharma Experience collaborating across geographical and organizational boundaries Advanced knowledge of Lean/ 6 Sigma, Design Thinking, Agile methodology Experience leading indirect reports in a matrix environment Advanced knowledge of Design Thinking and Agile methodology Demonstrated aptitude for learning Hands-on experience identifying and documenting data types, data modalities, and data flows across complex systems and system landscapes. Identifying opportunities for optimizations where possible. Leveraging digital technology and effective change management to deliver value. Track record delivering global solutions at scale, and interactions with senior management. Delivery of validated IT solutions and collaborating across boundaries. Experience in IT Enterprise & Business Architecture, IT Systems Design, IT Systems Integration, User Experience Design, Design Thinking, Analyzing stakeholder requirements, and Knowledge of IT Applications & tools. Experience with AI/ML and Experience with Domino is a plus Commitment To Diversity And Inclusion Novartis is committed to building an outstanding, inclusive work environment and diverse teams' representative of the patients and communities we serve. Accessibility and accommodation Novartis is committed to working with and providing reasonable accommodation to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the recruitment process, or in order to perform the essential functions of a position, please send an e-mail to diversityandincl.india@novartis.com and let us know the nature of your request and your contact information. Please include the job requisition number in your message Why Novartis: Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting and inspiring each other. Combining to achieve breakthroughs that change patients’ lives. Ready to create a brighter future together? https://www.novartis.com/about/strategy/people-and-culture Join our Novartis Network: Not the right Novartis role for you? Sign up to our talent community to stay connected and learn about suitable career opportunities as soon as they come up: https://talentnetwork.novartis.com/network Benefits and Rewards: Read our handbook to learn about all the ways we’ll help you thrive personally and professionally: https://www.novartis.com/careers/benefits-rewards Show more Show less

Summary Assist in the timely & professional ongoing Mgmt of data Operations on Use Cases/Demand deliverables and of clinical data warehouse maintenance with respect to cost, quality and timelines within Clinical Pipeline team. Ensure high quality data available for secondary analysis use. Support content development and upgrade to training modules into engaging and interactive applications. Follows data regulations and laws, data-handling procedures and data mapping guidelines. Supports quality deliverables within Clinical Data Operations (DO). Manage data Load, Transfer from Novartis Clinical Data Lake and conform of Clinical trial data to SDTM/ADaM compliant standards within the Clinical Data Warehouse. Supports the delivery of quality data, processes and documentation contributor role in ensuring that use case/demands are executed efficiently with timely and high quality deliverables. About The Role Major accountabilities: Demonstrates potential for technical proficiency, scientific creativity, collaboration with others and independent thought. Under supervision provides input into writing specifications for use cases/demand and necessary reports to ensure high quality and consistent data -Involved in User acceptance testing (UAT) and managing data mapping activities to maintain Clinical Data Warehouse -Under supervision, participates in ongoing review of all data generated from different sources -Supports the development of communications for initiatives. Perform hands on activities to conduct data quality assessments. Creates under supervision and learns relevant data dictionaries, ontologies and vocabularies -Reporting of technical complaints / special case scenarios related to Novartis data Collaborate with other data engineering teams to ensure consistent CDISC based data standards applied Be familiar with all clinical study documents from protocol to CSR including Data Management and Biostatistic documents. Key Performance Indicators Achieve high level of quality, timeliness, cost efficiency and customer satisfaction across Clinical Data Operations activities & deliverables. No critical data findings due to Data Operations-Adherence to Novartis policy, data standards and guidelines -Customer / partner/ project feedback and satisfaction Minimum Requirements Work Experience: 3-5 years of experience in working in clinical trials data reporting Collaborating across boundaries. Knowledge of clinical data Availability of sufficient information to find and understand data Availability of data quality assessments Experience in Agile way of working would be a plus Skills CDISC SDTM/ADaM Mapping Clinical Data Management. Experience in being able to work with different legacy, historical, local data standards SQL basic knowledges Python skills would be a plus Able to work in a worldwide team Data Privacy Data Operations. Data Science. Databases. Detail Oriented. Languages English. Why Novartis: Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting and inspiring each other. Combining to achieve breakthroughs that change patients’ lives. Ready to create a brighter future together? https://www.novartis.com/about/strategy/people-and-culture Join our Novartis Network: Not the right Novartis role for you? Sign up to our talent community to stay connected and learn about suitable career opportunities as soon as they come up: https://talentnetwork.novartis.com/network Benefits and Rewards: Read our handbook to learn about all the ways we’ll help you thrive personally and professionally: https://www.novartis.com/careers/benefits-rewards Show more Show less

Statistics & Data Corporation (SDC), a specialized contract research organization (CRO) headquartered in Arizona, delivering top-tier clinical trial services to pharmaceutical, biologic, and medical device/diagnostic companies since 2005. SDC providing a technology enabled service offering to provide clients with both clinical services expertise, as well as the technology they need to be successful in their clinical trials. Job Summary Provide statistical programming support to clinical trials. Produce statistical analyses, including generating/validating analysis datasets, tables, listings, and figures for clinical trials. Create SDTM mapping and datasets. Develop and maintain the infrastructure for project files of SAS datasets and SAS code. Support Data Management in data set creations/transfers, integrity checks, and quality audits. Act as a liaison between clinical and subcommittees and project teams on an as-needed basis. Primary Responsibilities Perform or oversee team in performing all statistical programming required for clinical trial analysis and reporting on large scale projects of high complexity Apply appropriate statistical methods for data analysis and provide statistical programming expertise for project teams Review the Statistical Analysis Plan in preparation for programming the planned analyses Lead design/development of SAS macros and other utilities to expedite SAS programming activities Organize and conduct internal training sessions and author papers for conferences Generate tables, listings, and figures per protocol, Statistical Analysis Plan, and/or approved client request Participate in statistical program validation and quality control activities Develop or review SDTM aCRF and specifications, ADaM specifications; complete programming and validation of CDISC SDTM and ADaM datasets Review pinnacle 21 reports and ensure compliance with CDISC and FDA guidelines Develop define.xml, study data reviewers guide and analysis datasets reviewers guide Identify study priorities and communicate effectively with project team and management Ensure quality, proper documentation and meet or exceed timely completion of the project within budgeted hours Manage statistical programming timelines, budgets, and client expectations Actively participate in study team meetings Interact with other departments, such as Clinical Operations, Project Management, and Data Management to ensure a high level of client satisfaction through successful execution of projects Participate in review process of study documents such as the CRF, edit check specifications, and database design specifications written by Data Management Program data cleaning checks, as necessary, to assist Data Management's data cleaning activities Participate in installation/validation of statistical software packages throughout the software development lifecycle Develop and maintain the infrastructure for project files of SAS datasets and SAS code Mentor junior level statistical programmers by developing training plans and providing oversight of their work Ensure all programming activities and processes performed are conducted according to SDC's standard procedures and/or sponsor requirements Adhere to all aspects of the SDC's quality system Comply with SDC's data integrity & business ethics requirements Perform other related duties incidental to the work described herein Adherence to all essential systems and processes that are required at SDC to maintain compliance to business and regulatory requirements The above statements describe the general nature and level of work being performed by individuals assigned to this classification. This document is not intended to be an exhaustive list of all responsibilities and duties required of personnel so classified. Requirements Required Skills Strong analytical skills, with the ability to process scientific and medical data Very strong SAS programming skills required, with proficiency in SAS/Base, SAS/Stat, SAS Macros and SAS/Graph Strong problem-solving skills Able to work independently Excellent knowledge of statistical programming Proficient in manipulating and analyzing SAS data Ability to identify data issues, present problems, and implement solutions quickly Capability of communicating technical concepts clearly, concisely, and understandably to non-statistical colleagues Good organizational and time management skills, with the ability to multi-task Familiarity with clinical trial design and analysis activities and basic knowledge of regulatory guidelines (FDA/CFR, ICH/GCP). Expert knowledge of CDISC SDTM and ADaM data models Very strong interpersonal communication, presentation, and leadership skills SAS Base, Advance and Clinical Trials Certification is preferred Education Or Equivalent Experience Bachelor's degree in computer science, statistics or other related, scientific field and at least eight years of relevant professional experience; or an equivalent combination of relevant education and/or experience. Benefits Why SDC SDC is a team of diversified professionals who deliver exceptional Biometric Services, Consulting, and Technology Solutions to pharmaceutical, biologic, and medical device/diagnostic companies. Since 2005 our purpose has been to partner with sponsors to provide high quality and experienced team members to develop great medicines that save lives and cure diseases in the most efficient manner possible. Our global team operates as a value partner to our clients by fulfilling their needs as our own and delivering exceptional results. We are a specialty CRO in that we provide scalable service offerings, focused services area specialists, efficient project timelines, optimal technology solutions, and proven success and experience. Our commitment to our clients is the same commitment to our employees. By offering strong benefits including competitive pay, generous time off, attainable career advances and positive work/life balance, we are able to attract some of the most talented people in the industry. We are committed to developing our employees. We recognize achievements, provide growth opportunities and career advancement, offer a flexible work schedule, engaging work culture and employee benefits We are passionate about our company culture. Our recognition program is directly tied to our core values of Energy, Integrity, Engagement, Innovation, Ownership, and Commitment We strive to provide a place of belonging to our employees with fun and engaging activities from SDC's culture club We are constantly growing and innovating to support our client and employee needs. Global in nature, we bring diverse perspectives enabling our growth in this ever-evolving industry With a proven track record, SDC has been successfully executing client clinical programs since 2005 Take a look at how you can join our team! Show more Show less

Job Title: Associate Director, Statistical Programming Introduction to role The Associate Director of Statistical Programming will oversee statistical programming activities for multiple clinical studies, maintain programming infrastructure, and ensure compliance with SOPs to produce quality and timely deliverables. This role requires extensive experience and proven skills in the use of SAS within a Statistical Programming environment, along with a complete understanding of statistical programming processes, procedures, and roles. The successful candidate will support Biostatistics in statistical analysis, including generating analysis data listings, tables, and figures, and creating all files necessary to support an electronic submission in the eCTD format. Additionally, strong people management and supervisory skills are essential to provide direct line management to statistical programmers, identify training needs, and optimize staff utilization. The role also involves managing the day-to-day activities of external partners in delivering program deliverables. Accountabilities Serve as the Lead Programmer and Manager of the statistical programming efforts. Develop and validate technical programming specifications for analysis datasets using Alexion or ADaM standards. Independently develop and validate programs that generate analysis datasets based on Alexion or ADaM specifications. Develop and validate technical programming specifications for protocol-specific efficacy tables, listings, figures/graphs. Independently develop and validate programs that generate protocol-specific efficacy tables, listings, figures/graphs using Alexion specifications. Ensure that the filing of study documentation is maintained to the standard required according to processes and acceptable for audit. Directly support the Clinical and Statistical Programming Director in all aspects of the management and development of the Statistical Programming team. Participate in the ongoing review of the processes used by the Statistical Programming group to ensure processes are continually complied with and updated as necessary. Create and/or review programming plans, and ensure appropriate resource allocation and prioritization. Act as the primary department contact to ensure that department standards are implemented in all studies. Manage adherence to all company policies, SOPs, and other controlled documents; ensure all programming activities adhere to departmental standards. Collaborate closely with Biostatistics, Clinical Data Management, Pharmacovigilance, Clinical Operations, and other functions within Alexion to address their needs for programming support. Essential Skills/Experience 7+ years statistical programming experience in the CRO or Pharmaceutical Industry. 4+ years project management experience in the CRO or Pharmaceutical Industry. Experience with CDISC SDTM and ADaM models and transforming raw data into those standards. Strong people management skills and supervisory skills gained from direct line management or supervisory experience. Proven abilities to lead and manage cross-functional projects, and people, from concept to completion. Strong verbal and written communication skills - ability to clearly and effectively present information. An excellent understanding of the roles and responsibilities of all related disciplines, in particular Biostatistics, Clinical Data Management, and Pharmacovigilance. Advanced knowledge of SAS/Base, SAS/Macro, SAS/STAT, SAS/Graph, and SAS/SQL in a windows environment with a demonstrated mastery of SAS/STAT procedures. Extensive experience and proven skills in the use of SAS within a Statistical Programming environment to develop and validate analysis datasets, tables, listings, and figures/graphs. Knowledge of clinical database design, specifically electronic data capture using Inform, Medidata, and Oracle. Advanced experience with: Constructing technical programming specifications. Relational Databases. Good Clinical Practices. Good Programming Practices. 21CFR Part 11 Standards. Integrated Summary Safety/Efficacy Analyses. Creating all files necessary to support an electronic submission in the eCTD format. Desirable Skills/Experience BS/MS/MA in Statistics, Biostatistics, Computer Science, Mathematics or related area. Competencies: Accountability Collaboration Decision Quality Drive for Results Perseverance Problem Solving Informing Peer Relationships Time Management Building Effective Teams Managing Through Systems At AstraZeneca's Alexion division, we are driven by our passion for making a difference in the lives of patients with rare diseases. Our unique approach combines the agility of a biotech with the resources of a global biopharma leader. We foster an inclusive culture where innovation thrives, empowering our employees to grow both personally and professionally. Join us to be part of a team that is dedicated to transforming lives through groundbreaking science and compassionate care. Ready to make an impact? Apply now! Show more Show less

About The Job Our Team: Sanofi Global Hub is an internal Sanofi resource organization based in India and is setup to centralize processes and activities to support Specialty Care, Vaccines, General Medicines, CHC, CMO, and R&D, Data & Digital functions. Sanofi Global Hub strives to be a strategic and functional partner for tactical deliveries to Medical, HEVA, and Commercial organizations in Sanofi, globally. Main Responsibilities The Team Lead Statistical Programmer will work with Medical Affairs biostatisticians and Sanofi Global Hub biostatistics and programming personnel to implement statistical analysis plans and provide QC’d data packages including tables, figures, and listings for use in publications (i.e., abstracts, posters, oral, presentations, and manuscripts); The Team Lead Statistical Programmer Provides leadership, guidance, and strategic inputs for all Sanofi Global Hub Programming personnel with different level of expertise through all projects of one or more TAs, and ensure their team members are current with advanced statistical programming techniques; The Team Lead Statistical Programmer will develop, implement, and document non-routine macros and advanced techniques; The Team Lead Statistical Programmer will ensure SOPs are followed and timelines and quality metrics are met; Secure delivery of high-quality of deliverables (TLFs) in time and in compliance with internal and external standards; Manage and ensure stakeholder’s expectations – ramping up programming teams and day to day operations to meet business requirements. People: 1) Develop and maintain effective relationships and collaborations with the end stakeholders (Medical community) and local biostatistics and programming team members within the allocated Global business unit and product – with an objective to develop statistical data outputs. 2) Actively support to maintain interface between Medical Activities Hub and Stakeholder by facilitating regular interaction and implementing appropriate trackers. 3)Ensure continuous assistance to new team members to support efficient and quick onboarding and knowledge sharing sessions across Sanofi Global Hub. Performance / Process: 1) Conduct appropriate post-hoc statistical analyses of clinical trial data. 2) Lead/contribute to the global coordination efforts to identify, develop, innovate/automate and implement departmental standards, applications, processes and trainings; participate to the evaluation of tools/applications and endorse their development. 3) Collaborate effectively with Principal biostatisticians and programmers to ensure high quality and timely statistical programming deliverables across the TAs. 4) Design, develop, test, implement, and document statistical programming in high-level software packages e.g., SAS. 5) Produce well documented data packages that include tables, listings, and figures. 6) Work closely with the Head Biostatistics and Statistical Programming, Principal Biostatisticians to develop and implement project management tools / tracker to automate the proper resource assignment & utilization, QC plans and timelines. 7) Develop and maintain statistical programming team using R / Python. Customer: 1) Work closely with Global Medical Affairs biostatisticians to identify statistical analysis needs and assist in developing assigned deliverables. About You Experience: Master's degree minimum 8 years/B.Sc. minimum 10 years of relevant experience required Soft skills: Stakeholder management, Ability to manage timelines and Ability to work independently and within a team environment, Autonomy in the management of activities; ability to manage multiple conflicting high priority deadlines Technical skills: Advance SAS programming skills, SDTM & ADaM (CDISC) and clinical data environment across multiple therapeutic areas Education: Bachelor or Master of Science degree or equivalent in Statistics, Computer Science, Mathematics, Engineering, Life Science, or related field. Languages: Excellent English language knowledge – written and spoken Pursue progress, discover extraordinary Better is out there. Better medications, better outcomes, better science. But progress doesn’t happen without people – people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. So, let’s be those people. At Sanofi, we provide equal opportunities to all regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, or gender identity. Watch our ALL IN video and check out our Diversity Equity and Inclusion actions at sanofi.com! null Show more Show less

Description Principal Statistical Programmer Syneos Health® is a leading fully integrated biopharmaceutical solutions organization built to accelerate customer success. We translate unique clinical, medical affairs and commercial insights into outcomes to address modern market realities. Our Clinical Development model brings the customer and the patient to the center of everything that we do. We are continuously looking for ways to simplify and streamline our work to not only make Syneos Health easier to work with, but to make us easier to work for. Whether you join us in a Functional Service Provider partnership or a Full-Service environment, you’ll collaborate with passionate problem solvers, innovating as a team to help our customers achieve their goals. We are agile and driven to accelerate the delivery of therapies, because we are passionate to change lives. Discover what our 29,000 employees, across 110 countries already know: WORK HERE MATTERS EVERYWHERE Why Syneos Health We are passionate about developing our people, through career development and progression; supportive and engaged line management; technical and therapeutic area training; peer recognition and total rewards program. We are committed to our Total Self culture – where you can authentically be yourself. Our Total Self culture is what unites us globally, and we are dedicated to taking care of our people. We are continuously building the company we all want to work for and our customers want to work with. Why? Because when we bring together diversity of thoughts, backgrounds, cultures, and perspectives – we’re able to create a place where everyone feels like they belong. Job Responsibilities Uses SAS, or other software, to develop custom programming code to generate summary tables, data listings, graphs and derived datasets as specified in the statistical analysis plan and programming specifications. Works to ensure that outputs meet quality standards and project requirements. Performs validation programming and works with other programmers, biostatisticians, and other project team members to resolve discrepancies or any findings. Keeps project team members informed of programming progress and issues requiring their attention. Follow applicable SOPs, WIs, and relevant regulatory guidelines (e.g. ICH). Maintains well organized, complete, and up-to-date project documentation, testing, and verification/quality control documents and programs ensuring inspection readiness. Manages scheduling and time constraints across multiple projects at a time, sets goals based on priorities from management, and adapts to timeline or priority changes by reorganizing daily workload. Develops specifications for datasets and outputs of any complexity according to statistical or sponsor requirements. Anticipates and addresses potential programming issues, reflects forethought, establishes the basis for efficient programming and accurately defines all variables to be accepted by peer review and sponsor/requestor with little rework. Conducts effective internal meetings (appropriate in format, frequency and attendance). Distributes relevant information in advance. Ensures minutes are promptly and accurately distributed. Follows action items through to completion, and maintains order and focus of meetings, working toward consensus. Displays willingness to work with others and assist with projects and initiatives as necessary to meet the needs of the business. Accountable for on-time delivery across concurrent programming deliverables. Negotiates programming timelines and provides risk mitigation plans for projects or programs, as needed. Proactively informs management of the status of deliverables and significant project or program issues, including planned resolutions. Acts as the lead statistical programmer. Directs the programming activities of other programming personnel and monitors progress on programming deliverables. Reviews project documentation such as Statistical Analysis Plan, mock shells, programming specifications, annotated CRFs, and SAS database design. Provides feedback to the appropriate project team members which reflects forethought and reduces inefficiencies in programming activities. Participates in sponsor meetings, kickoff meetings, and bid defense meetings as statistical programming representative, as required by sponsor. Contributes to the mentoring of programming personnel through developing training courses, presenting training materials, reviewing work, and providing feedback or guiding new associates in process. Maintains a good working knowledge of clinical drug development, industry standards, and electronic submission requirements; serves as a technical expert resource to other department members for complex programming questions. Works cooperatively with other biostatistics and statistical programming personnel to establish standard operation procedures (SOPs), guidelines, policies, and/or procedures. Contributes technical expertise to the development of programming tools and macros for standardization and efficiency. When serving as a technical subject matter expert for CDISC and other industry and regulatory requirements, provides guidance and training to the Biostatistics group and other departments on the appropriate use of CDISC Standards When serving as a subject matter expert for CDISC and other industry and regulatory requirements, performs compliance reviews of project deliverables for CDISC deliverables including SDTM and ADaM specifications and datasets as well as any regulatory required documents. (i.e. DEFINE.XML) When serving as a subject matter expert for CDISC and other industry and regulatory requirements, actively participates in industry standards organizations and provides regular updates to the Biometrics Department on upcoming changes to those standards. Transfers deliverables. Performs other work-related duties as assigned. Minimal travel may be required Qualifications What we’re looking for Undergraduate degree, preferably in a scientific or statistical discipline; in lieu of degree, an equivalent combination of education and demonstrated programming experience. Extensive programming experience in SAS or other required software, preferably in a clinical trial environment as demonstrated by the ability to lead multiple complex and/or global projects with teams of statistical programmers. Knowledge and experience in the use of CDISC Standards for regulatory agency requirements. Experience in submissions to a regulatory agency preferred. Experience in mentoring others in clinical trial process and CDISC Standards. Excellent written and verbal communication skills. Ability to read, write, speak and understand English. Get to know Syneos Health Over the past 5 years, we have worked with 94% of all Novel FDA Approved Drugs, 95% of EMA Authorized Products and over 200 Studies across 73,000 Sites and 675,000+ Trial patients. No matter what your role is, you’ll take the initiative and challenge the status quo with us in a highly competitive and ever-changing environment. Learn more about Syneos Health. Additional Information Tasks, duties, and responsibilities as listed in this job description are not exhaustive. The Company, at its sole discretion and with no prior notice, may assign other tasks, duties, and job responsibilities. Equivalent experience, skills, and/or education will also be considered so qualifications of incumbents may differ from those listed in the Job Description. The Company, at its sole discretion, will determine what constitutes as equivalent to the qualifications described above. Further, nothing contained herein should be construed to create an employment contract. Occasionally, required skills/experiences for jobs are expressed in brief terms. Any language contained herein is intended to fully comply with all obligations imposed by the legislation of each country in which it operates, including the implementation of the EU Equality Directive, in relation to the recruitment and employment of its employees. The Company is committed to compliance with the Americans with Disabilities Act, including the provision of reasonable accommodations, when appropriate, to assist employees or applicants to perform the essential functions of the job. Show more Show less

Job Title: Statistical Programmer (R) Location: Remote About the Role: We are seeking a talented Statistical Programmer with a strong background in R programming to join our dynamic team. In this role, you will collaborate with statisticians, data managers, and clinical researchers to deliver high-quality statistical programming support for clinical trials and research studies. You will be responsible for data preparation, analysis, and the generation of statistical outputs, ensuring compliance with regulatory standards. Key Responsibilities: Develop and validate statistical programs using R to support clinical trial analysis and data visualization. Create and maintain analysis datasets, summary tables, listings, and graphical presentations. Collaborate closely with statisticians to ensure accurate and efficient data analysis. Contribute to the development of statistical analysis plans (SAP) and programming specifications. Participate in data quality checks and data review processes. Ensure compliance with regulatory guidelines (e.g., CDISC, ICH, FDA) and internal quality standards. Troubleshoot and resolve programming issues related to data processing and analysis. Document programming work for transparency and reproducibility. Qualifications: Bachelor’s or Master’s degree in Statistics, Biostatistics, Mathematics, Computer Science, or a related field. 3+ years of experience in statistical & R programming within the pharmaceutical, biotechnology, or CRO industry. Proficiency in R programming, including package development and data manipulation. Strong understanding of clinical trial data and statistical methodologies. Experience with CDISC standards (SDTM, ADaM) is a plus. Show more Show less

Job Overview Provide programming support as part of the Statistical Programming (SP) team to develop and maintain programs to meet internal and external clients’ needs. Support the development of project-related solutions to a variety of statistical programming tasks. Essential Functions Program, test, and document statistical programs for use in creating statistical tables and listing summaries. Program analysis databases (derived datasets) and transfers of data for internal and external clients. Program database quality control checks. Assist in development of programming documentation including plans and specifications, as appropriate. Assist in developing, implementing and validating new process technologies, macros and applications. Assist project lead in fulfilling project responsibilities. Education & Experience: Master’s degree in Computer Science or a related field with a minimum of 2.5 years of relevant experience, or Bachelor’s degree in Computer Science or a related field with a minimum of 3 years of relevant experience Technical Expertise: Strong knowledge of statistics, programming, and/or the clinical drug development process Proven expertise in SDTM, ADaM, and TLF standards Advanced proficiency in computing applications, including Base SAS, SAS Graph, and SAS Macro Language Skills & Competencies: Excellent organizational, interpersonal, leadership, and communication skills Ability to manage multiple tasks and projects effectively High level of accuracy and attention to detail Strong ability to establish and maintain effective working relationships with colleagues, managers, and clients IQVIA is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create intelligent connections to accelerate the development and commercialization of innovative medical treatments to help improve patient outcomes and population health worldwide. Learn more at https://jobs.iqvia.com Show more Show less

Job Overview Responsible for study build & design, edit specifications, system configurations and is accountable for associated study design components. This role will collaborate with various stakeholders- DTL, Programmer, Validation Team, vendors, statisticians, and client representatives. In addition to project deliveries, the role also would be responsible for the project financials from programming shared services perspective. Essential Functions Interprets the study protocol. Design and update the eCRF using third party or in house CDMS tools in alignment with industry standards like SDTM, CDASH as applicable. Create and update Edit Specification Document. Generate specifications for EDC build components (e.g., Rights and Roles, System Settings and Home Page) Complete the Study Authorization Form and Trial Capacity Request Form (InForm) Attend the Pre-Design Meeting, Online Screen Review Meeting, Unblinded Data review meeting. Attend and present comments at the Internal Design Review Meeting. May lead Online Screen Review Meeting. Facilitate the internal Edit Specification Review Meeting and leads the discussions regarding the Edit Specification Document. Design the database to collect LLRR data within the InForm database and ensure Rights and Roles document has appropriate access for Entry and Updates. Communicate any project risks to the Data Team Lead, including the potential for missing a timeline in the Data Management Project Plan. Escalate potential quality issues. Ensure the completion and documentation of all project-specific training, as well as staying current with required Standard Operating Procedures. Reviews build timelines and provide input as applicable. Reviews QIP for own projects, identify out of scope activities if any and inform relevant parties. Responsible for multiple study design projects at the same time. Might be working on projects across multiple platforms. Identify areas for process improvements on an ongoing basis. Actively take part and contribute towards process improvement initiatives as assigned besides providing suggestions for continuous improvement of processes. All responsibilities are essential job functions unless noted as nonessential (N). Qualifications Bachelor's Degree Bachelor in Science/Computer science/Information Technology or Bachelor in Technology Req 2-4 years of relevant core Technical designer experience and total exp being 7+ yrs. Req IQVIA is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create intelligent connections to accelerate the development and commercialization of innovative medical treatments to help improve patient outcomes and population health worldwide. Learn more at https://jobs.iqvia.com Show more Show less

Internal/extrernal stakeholders, project team members, vendors Create SAS programs to generate derived analysis datasets and content for tables, listings, and figures; Perform programming validation to ensure quality of analysis datasets and programming outputs Provides programming support for project teams, including development of programming strategies, standards, specifications and programmed analysis Support the electronic submission preparation and review Reviews key planning documents (e.g., statistical analysis plan, data presentation plan, data review plan) to ensure alignment with development team objectives and clarity and completeness of programming assumptions and requirements; Assesses impact on programming activities Interacts with vendors regarding project standards, programming conventions, programming specifications and file transfers Provides leadership for ensuring quality of Global Biometric and Data Sciences (GBDS) deliverables by consistently applying standards and complying with regulatory requirements, guidance and corporate and departmental SOPs and work practices Identifies opportunities for increased efficiency and consistency within GBDS and our interactions with strategic vendors Independently leads and / or performs programming assignments with minimal supervision Support improvement initiatives Minimum Requirements: Bachelor’s degree in statistics, biostatistics, mathematics, computer science or life sciences required. At least 3 years programming experience in industry recommended. For US positions: US military experience will be considered towards industry experience. Demonstrated proficiency in using SAS, R or other programming languages to produce derived analysis datasets and TFLs. Understanding of clinical data structure (e.g. CDISC standards) and relational database. Demonstrated skills in using software tools and applications, e.g., MS office, XML. Demonstrated ability in the handling and processing of upstream data, e.g., multiple data forms, workflow, eDC, SDTM. Demonstrated ability in providing outputs to meet downstream requirements, e.g., ADaM, Data Definition Table, e-submission. Have good understanding of regulatory, industry, and technology standards and requirements. Have good knowledge of statistical terminology, clinical tests, medical terminology and protocol designs. Demonstrated ability to work in a team environment with clinical team members. Preferred Requirments: Minimum of 3 years clinical / statistical programming experience within pharmaceutical clinical development Knowledge of the drug development process, clinical trial methodology, statistics and familiarity with global regulatory requirements Experience in other software packages (e.g. R) Experience with the Linux operating system IQVIA is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create intelligent connections to accelerate the development and commercialization of innovative medical treatments to help improve patient outcomes and population health worldwide. Learn more at https://jobs.iqvia.com Show more Show less

Functional consultant with SAP Configuration experience ideally in MDM (Article master), or second choice MM module (Material master) - EXPERT LEVEL Rxperience in SAP Retail (SAP vertical solution IS Retail) Person should be well versed with standard SAP Concepts of Assortment, Listing, Merchandise Category, etc. know SAP transaction MM41 (Article master) or MM01 (Material master MDM delas with lots of mass changes and some experience with LSMW, MM46, MM17, bespoke programs, or 3rd party tools like Process Runner, Innowera, etc Primary Skills Experience in MDM/ MM with IS- Retail Configration exp in MDM or MM

Key Skills: Adam, SDTM Roles and Responsibilities: Lead statistical programming activities as Trial Programmer for assigned studies or project-level activities including requirements analysis, resource estimation, planning and tracking, development of programs and validation of deliverables Develop and review programming dataset specifications Coordinate activities of all programmers assigned to the same study or project. Conduct kickoff meeting to provide an overview of the study or project, discuss deliverables, roles and responsibilities, timelines, and conventions Remove barriers to facilitate quality, timely and efficient completion of deliverables. Ensure that programmers have all required inputs for their tasks Provide solutions to programming issues and/or ensure efficient implementation Build and maintain effective working relationships with relevant team functional representation. Effectively communicate the status of deliverables, changes to plan, risks and proposed mitigation strategy to relevant team, Project Programmer and supervisor Contribute to development of SP standards and processes, knowledge sharing and other tasks as assigned Responsible for quality control and audit readiness of all assigned statistical programming deliverables as well as accuracy and reliability of statistical analysis results Skills Required: Quality and timeliness of all deliverables for assigned studies or project-level activities Ability and effectiveness in leading activities and coordinating programmers assigned to the same study or project Adequate representation as Trial Programmer in the Clinical Trial Team. Effectiveness of communication and participation as assessed by the team members Compliance with internal and external standards as measured by audit findings Works effectively under minimal supervision of supervisor or Project Programmer who is responsible for the overall statistical programming strategy for the project Timely and high quality SP deliverables. Delays and errors in deliverables may impede submissions or other product developments and subsequent revenue loss to the company Efficient programming leading to quality submissions, and reduced time and costs for development and registration Ensuring external quality reputation of Company with Health Authorities Strong SAS programming skills including development and use of macros Extensive experience in requirements analysis, resource estimation, planning and tracking deliverables and coordinating activities Extensive experience in developing programming dataset specifications Good working knowledge of statistical concepts Good understanding of regulatory requirements relevant to Statistical Programming (e.g. GCP, ICH) and industry standards such as CDISC Excellent written and oral communication Ability to work well with others globally Minimum Requirements: 7 years of relevant experience in clinical Statistical programming & SDTM, ADaM, Analysis dataset and specification creation, (TLF)Table and Listing creation 2 years of proven ability to lead statistical programming activities as Trial Programmer Education: BA/BS/MS degree or equivalent experience in mathematics, statistics, computer science, health sciences or related field

Job Title: Clinical Standard and Bio Stats Job Location: Pan India (Preferrable: Delhi or Mumbai) Exp Range: 10 - 18 Years Job Description: Roles and Responsibility: Contributes in building Product and solutions in Digital Data Flow, along with Product Team by providing Subject Matter expertise and knowledge on Industry Trends. Contributes to build differentiated Product offerings to maximize Sales and increase number of customers on Product. Co-leads the global strategic positioning & roadmap from a business view for Clinical Standards, Digital Data Flow, Metadata Repository, Biometrics e.g. SDTM, ADaM, Regulatory Submission Packages and Data Management (EDC, non-CRF, eDTA), TFLs, SDR, USDM (e.g. STDM, ADaM.) Co-leads the design & development for these solutions from a business view Co-leads thought leaderships and external visibility (e.g. articles, webinars, conferences, cross-industry meetings), initiates advisory boards Supports business development team with customer presentations, RFI/RFP requests and go-to-market strategy. Initiates customer leaderships connects and strategic partnerships. Description: At least 10-15 years of global drug development experience in Digital Data Flow, metadata repository, clinical data standards, biometrics, EDC, eDTA, gained preferably at top-15 pharma companies or clinical research organizations (CROs) Extensive hands-on experience with Digital Data Flow, data collection standards, biostatistical programming, STDM, ADaM, TFL and regulatory submission packages, including innovative tools and strategies for automation. Experience in applying AI in standardization, SDTM, ADaM and TFL generation. Experience in strategy setting for generating EDC build from study protocol, SDR Model, USDM Experience in innovative ways to automate testing and validation Track record of building respect and trust with customers, employees and other internal and external stakeholders and partners. Broad cross-pharma senior management network & preferably cross-industry forum expertise (e.g. CDISC, Transcelerate, IMI) Outstanding communication skills with ability to translate technology in a clear & easy-to-understand language Strong interpersonal skills including negotiation skills, facilitation skills and ability to drive for clarity and results when faced with ambiguity. Master’s degree in sciences (e.g. biology, biomedical, pharmacist, statistics) or equivalent by expertise. PhD is an advantage Show more Show less

Location : Mumbai & Chennai. Skill : SDTM, ADAM and TLF. Exp : 5+ years core experience in Clinical SAS Programming is mandatory. Jd An Individual Contributor role : Productive hands-on programming, supporting deliverables in the study/project/portfolio/standards team, of medium to high complex statistical programming deliverables to support assets and study teams. Performs tasks independently with mentorship or advise from Programming Leads within the organization. Acts as co-lead/lead on selected projects/initiatives/activities and also study deliverables as needed. Guide, mentor, monitor programmers within the team and collaborate with SDSL's on timelines, resource management and deliverables with quality. Is capable of handling standards/study programming specific activities independently including collaboration across stakeholders at various timezones. Ensures adherence to high quality programming standards in their daily work. Ensure the tasks are completed on time with quality and are compliant to the process at Pfizer with needed guidance. Work collaboratively with study teams and stakeholders such as clinicians and statisticians on milestones and deliverables. Active self-learning and delivering on solutions in the space of statistical programming and data standards. Contribute to SDSA initiatives globally and locally. Skills Bachelor or Master (preferred) Degree in Statistics, Computer Sciences, Engineering, Pharmacy, biological sciences, IT, or related field. At least 5 6 years relevant experience in a pharmaceutical, biotech, CRO, or Regulatory Agency. Understanding of clinical data and drug development process, CDISC standards required. Statistical Programming and SAS hand-on experience. Clinical trials expertise with an understanding of data operations required for the reporting of clinical. Good understanding of ICH and regulatory guidelines. Working knowledge of clinical data and relevant data standards. Is able to work with stakeholders across timezones under tight timelines. Strong written and oral communication skills, and time and project management skills. Strong competencies and interests for innovation and problem solving. Proven ability to operate with limited oversight. Knowledge of at least 1 Therapeutic Area. (ref:hirist.tech) Show more Show less

Job Profile Summary The Statistical Programmer II provides technical expertise for the conduct of clinical trials, and works with minimal supervision to support various programming activities related to the analysis and reporting of clinical study data. In addition, the Statistical Programmer II may fill the Statistical Programming Lead role (or part of that role) on small, non-complex projects. Job Description Key Accountabilities: Project Management Assist in the coordination of project start-up activities, creation of global programs, tracking spreadsheets, and other required documentation. Statistical Programming For Assigned Projects Deliver best value and high quality service. Check own work in an ongoing way to ensure first-time quality. Use efficient programming techniques to produce derived datasets (e.g. SDTM, ADaM), tables, figures, and data listings of any complexity and QC low-medium complexity derived datasets, tables, figures, and data listings. Assist in the production/QC of derived dataset specifications and other process supporting documents and submission documentation. Training Maintain and expand local and international regulatory knowledge within the clinical industry. Develop knowledge of SAS and processes/procedures within other PAREXEL functional areas. Provide relevant training and mentorship to staff and project teams as appropriate. General Maintain all supporting documentation for studies in accordance with SOPs/Guidelines to ensure traceability and regulatory compliance. Ensure compliance with SOPs/Guidelines, ICH-GCP, and any other applicable local and international regulations, and participate in internal/external audits and regulatory inspections as required. Proactively participate in process/quality improvement initiatives. Understand regulatory requirements concerning industry technical standards (e.g. CDISC, 21 CFR Part 11, and electronic submissions). Skills Excellent analytical skills. Proficiency in SAS. Knowledge and understanding of the programming and reporting process. Knowledge of SOPs/Guidelines, ICH-GCP, and any other applicable local and international regulations such as 21 CFR Part 11. Ability to learn new systems and function in an evolving technical environment. Ability to manage competing priorities and flexibility to change. Attention to detail. Ability to successfully work as part of a global team. Work effectively in a quality-focused environment. Effective time management in order to meet daily metrics or team objectives. Show commitment to and perform consistently high quality work. Business/operational skills that include customer focus, commitment to quality management, and problem solving. Knowledge And Experience Competent in written and oral English. Good communication skills. Education Educated to degree level in a relevant discipline and/or equivalent work experience. Show more Show less

Role: Study Data Manager (SDM) Exp: 5+ yrs in Clinical Data Mgmt (CDM), incl. 1+ yr leading trials. Location: Mumbai/Pune/Bangalore. Reject ex-TCS, non-BPO int’l exp. Represent DM in study meetings, escalate risks, drive resolutions. Required Candidate profile Key Responsibilities: End-to-end DM ownership (study setup, eCRF design, DMP, DB locks). Lead cross-functional teams, mentor CDRs, and ensure data integrity.

Our Team About the job Sanofi Business Operations (SBO) is an internal Sanofi resource organization based in India and is setup to centralize processes and activities to support Specialty Care, Vaccines, General Medicines, CHC, CMO, and R&D, Data & Digital functions Sanofi Business Operations strives to be a strategic and functional partner for tactical deliveries to Medical, HEVA, and Commercial organizations in Sanofi, globally, Main Responsibilities The Associate Biostatistician will work with Medical Affairs biostatisticians and Sanofi Business Operations biostatistics and programming personnel to support and implement statistical analysis plans and provide QCd data packages including tables, figures, and listings for use in publications (i-e abstracts, posters, oral, presentations, and manuscripts); The Associate Biostatistician will ensure SOPs are followed and timelines and quality metrics are met, People: 1) Develop and maintain effective relationships and collaborations with the end stakeholders (Medical community) and local biostatistics and programming team members within the allocated Global business unit and product with an objective to develop statistical data outputs, Performance / Process: 1) Conduct appropriate post-hoc statistical analyses of clinical trial data 2) Support in Design, develop, test, implement, and document statistical programming in high-level software packages e-g SAS 3) Produce well documented data packages that include tables, listings, and figures 4) Closely follow QC plans and timelines set by senior members of the Sanofi Business Operations biostatistics and programming team 5) Review appropriate biomedical and clinical research literature related to assigned project(s), Customer: 1) Work closely with Global Medical Affairs biostatisticians to identify statistical analysis needs and assist in developing assigned deliverables, About You Experience: Master's degree with 1-3 years (m-sc ) of experience required /Ph D in biostatistics or statistics or epidemiology and 1-2 years, Soft skills: Ability to manage timelines and Ability to work independently and within a team environment, High proficiency in statistical methods used in the pharmaceutical industry?, Autonomy in the management of activities; ability to manage multiple conflicting high priority deadlines, Technical skills: Base and / or Advance SAS programming skills, SDTM & ADaM (CDISC) and other statistical computing software skills in a clinical data environment across multiple indications in a therapeutic area, Education: Master of Science degree or equivalent in Statistics/ Ph D in biostatistics or statistics or epidemiology Languages: Excellent English language knowledge written and spoken Pursue progress, discover extraordinary Better is out there Better medications, better outcomes, better science But progress doesnt happen without people people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen So, lets be those people, At Sanofi, we provide equal opportunities to all regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, or gender identity, Watch our ALL IN video and check out our Diversity Equity and Inclusion actions at sanofi ! null