137 Sas Macros Jobs

Manage and maintain document structures in SAP in accordance with organizational standards and quality management systems. Handle and organize various document types including: o Product-related service documents o Process-related documents (e.g., Work Instructions, Training Documents) Support change management activities and coordinate new version releases to ensure that updated documents are properly made available in the system. Ensure accuracy and completeness of document configuration in SAP across all stages of the document lifecycle. Collaborate with key stakeholders such as: o Document Authors o Process Managers o Document Administrators o Training (Learn4U) Administrators Apply sound knowledge of Microsoft Word, including the use of macros for formatting and efficiency. Ensure proper version control, storage, and retrieval of documentation. Support audits and inspections by ensuring document readiness and compliance with applicable standards. Qualifications & Skills Bachelors degree or equivalent 2-3 years of experience in document management activities, preferably in a regulated industry. Strong working knowledge of SAP Document Management System (DMS). Proficiency in Microsoft Word, including experience with macros. Good understanding of the document control process and a general understanding of the quality mgmt. system Attention to detail Excellent organizational and communication skills. Ability to work independently and collaboratively within a team environment. Prior experience in the Healthcare or Medical Device domain is highly desirable.

Key Responsibilities: Reviewing protocol SAP & RAP preparation and implementation Sample size calculation Provides statistical consultations Preparing and reviewing randomization list Preparing and reviewing of tables, listing and graphs, as applicable Preparing and reviewing of statistical report, as applicable Provides support for blinding and unblinding documentations Preparing and reviewing standard operating procedures Training/Guiding/Mentoring associate biostatisticians and junior programmers. Objectives setting and appraisal for the team Facing client to answer statistical queries Any other responsibilities assigned by the organization from time to time Educational Qualification: M.Sc. in Statistics, Ph.D. in Statistics or any equivalent degree in Statistics Technical/functional Skills: Expert in any programming language (preferably R and SAS) Clinical Trials Exposure Pharmacokinetics and Phase I-IV Experience: 10-15 Years Behavioral Skills: Proficient in English (reading and writing), Stress Management, Empathy, Conflict resolution and Patience.

About The Role Project Role : Application Designer Project Role Description : Assist in defining requirements and designing applications to meet business process and application requirements. Must have skills : SAS Analytics Good to have skills : NAMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Designer, you will assist in defining requirements and designing applications to meet business process and application requirements. Your typical day will involve collaborating with various stakeholders to gather and analyze requirements, creating design specifications, and ensuring that the applications align with business objectives. You will also engage in discussions with team members to refine designs and address any challenges that arise during the development process, ensuring that the final product meets the highest standards of quality and functionality. Roles & Responsibilities:- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work related problems.- Collaborate with cross-functional teams to gather and analyze requirements for application design.- Develop and document design specifications that align with business needs and technical requirements. Professional & Technical Skills: - Must To Have Skills: Proficiency in SAS Analytics.- Strong analytical skills to interpret complex data sets and derive actionable insights.- Experience in application design and development methodologies.- Familiarity with software development life cycle and project management principles.- Ability to communicate technical concepts to non-technical stakeholders. Additional Information:- The candidate should have minimum 3 years of experience in SAS Analytics.- This position is based at our Hyderabad office.- A 15 years full time education is required. Qualification 15 years full time education

Job Position Controlling Professional - Processes Education Qualification: Chartered Accountant with 2 - 3 years of post-qualification experience. Job Responsibilities: Responsible for quarterly computation of Base Allowance and Expected Credit Loss for audit purposes and liaising with external / statutory auditors for resolution of any queries on the same. Responsible for monthly review of key focus areas for Accounts receivable, Cash & Bank and Site Cash process and presenting observations to Team Leader, Manager-Controlling & Head of Accounting. Responsible for reviewing existing processes on a regular basis to identify improvements as well as ensuring that the improvements suggested are implemented. Responsible for framing and implementing new processes as and when required. Responsible for proactively identifying digitalization initiatives to simplify existing processes. Responsible for identifying key controls required for the process and communicating the same to the risk and internal control team. Responsible for ensuring clear communication and proper execution of tasks for assigned areas with stakeholders from Business teams, Corporate departments, GBS, Head of Accounts of other group companies within the scope of CF R SAS, CFA. Responsible for ensuring compliance to all internal / external regulations. Skill sets required: Working knowledge of SAP Clear understanding of accounting processes like Accounts Receivable, Accounts Payable, Cash & Bank etc Good communication and organizational skills.

Role Description ITAO is the custodian of the application and is responsible to apply and enable during Life-Cycle of the application the IT policies and procedures with specific consideration to IT management and Information Security. The ITAO ensures a clear separation of the responsibility within the project, aimed at achieving a safe and secure running of the application and compliance to regulations, policies and standards. ITAO is responsible for application documentation, application infrastructure reliability and compliance, and is usually the IT SPOC for audit initiatives. Your key responsibilities You are involved in the whole Software Development Lifecycle starting from analyzing requirements, developing, deploying and testing software as well as maintaining & continuously improving it. Your primary focus will be on software design, development and unit-testing activities including peer code reviews. You provide high-quality solutions that meet functional as well as non-functional requirements. You actively participate and contribute into the sprint activities and ceremonies e.g. daily stand-up, Sprint planning, retrospectives, refinements etc. You collaborate with other team members to achieve the sprint objectives. Candidate should aware and good knowledge on Enterprise IT governance, Security & Governance, Information content publishing, Knowledge management, Business risk management, Continuity management, Data management, Change and Transformation. Delivery and operation Availability management : Contributes to the availability management process and its operation and performs defined availability management tasks. Analyses service and component availability, reliability, maintainability and serviceability. Ensures that services and components meet and continue to meet all of their agreed performance targets and service levels. Implements arrangements for disaster recovery and documents recovery procedures. Conducts testing of recovery procedures. Service acceptance: Engages with project management to confirm that products developed meet the service acceptance criteria and are to the required standard. Feeds into change management processes. Configuration management : Applies tools, techniques and processes to track, log and correct information related to configuration items. Verifies and approves changes ensuring protection of assets and components from unauthorised change, diversion and inappropriate use. Ensures that users comply with identification standards for object types, environments, processes, lifecycles, documentation, versions, formats, baselines, releases and templates. Performs audits to check the accuracy of information and undertakes any necessary corrective action under direction. Asset management : Applies tools, techniques and processes to create and maintain an accurate asset register. Produces reports and analysis to support asset management activities and aid decision making. Change management : Develops implementation plans for complex requests for change. Evaluates risks to the integrity of service environment inherent in proposed implementations (including availability, performance, security and compliance of the business services impacted). Seeks authority for those activities, reviews the effectiveness of change implementation, and suggests improvement to organisational procedures governing change management. Leads the assessment, analysis, development, documentation and implementation of changes based on requests for change. Security administration : Investigates minor security breaches in accordance with established procedures. Assists users in defining their access rights and privileges. Performs non-standard security administration tasks and resolves security administration issues. Application support : Drafts and maintains procedures and documentation for applications support. Manages application enhancements to improve business performance. Advises on application security, licensing, upgrades, backups, and disaster recovery needs. Ensures that all requests for support are dealt with according to set standards and procedures. Problem management : Ensures that appropriate action is taken to anticipate, investigate and resolve problems in systems and services. Ensures that such problems are fully documented within the relevant reporting system(s). Enables development of problem solutions. Coordinates the implementation of agreed remedies and preventative measures. Analyses patterns and trends. To support key role holders such as ITAOs and ISOs to develop a secure environment by evaluating the IT Security requirements as early as possible in the system development life cycle to select the applicable information security controls for implementation. To guide ITAOs on the implementation of compensating controls in case of deviations from the applicable information security controls. To approve the access control and user authorization approach of the assigned IT Assets. To execute and document periodical recertification of Access Rights in compliance with the DB Group Identity and Access Processes. Incident management : Ensures that incidents are handled according to agreed procedures. Investigates escalated incidents to responsible service owners and seeks resolution. Facilitates recovery, following resolution of incidents. Ensures that resolved incidents are properly documented and closed. Analyses causes of incidents, and informs service owners in order to minimise probability of recurrence, and contribute to service improvement. Analyses metrics and reports on performance of incident management process. Your skills and experience At least 10 years experience in as a SAS, SAS Viya . Sound understanding of Production Management processes and controls in large organizations. Excellent problem solving skills in a distributed, multi-technology ecosystem Strong Experience in Base SAS, Advance SAS, Macros, SAS Enterprise Gide, SAS SMC,SAS Viya on UNIX Platform. Strong Skill in Advance Data Step programming statement to solve complex problems Strong Skill in writing and debugging SAS SQL/Proc SQL code. Strong Skill in writing and using SAS Macros. Hands on experience with SAS/Access using Oracle Strong Scripting experience in Shell . Strong Knowledge of Oracle Management, SQL scripts, performance mgmt. Strong understanding of Unix, Linux and Windows. Understanding of Agile and Safe methodologies.

Minimum 8 years of experience in ETL development using SAS Data Integration Studio 4.9 ETL toolset. Skilled in various DI transformations including Look-up, Loop, Transpose, Sort, Append, Rank, List Data, Extract, Table Loader, Merger, Split, SQL, SCD Type 1 & Type 2 Loader, Data Validation, Creating Custom Transformations, Change Data Capture, managing indexes and constraints, using In-Database processing, verifying data quality settings, Importing SAS Code, Deploying & Scheduling Jobs, chaining jobs, metadata promotion Strong industry experience working in the data warehouse/BI arena including experience in data warehouse methodologies, including data management, data integration and analytics system architecture. Integrate and manage the data mappings from data sources to the Enterprise Data Warehouse using the SAS Data Management solution. Hands on experience in Base SAS, Advance SAS programming, SAS Macros, SQL and optimization techniques. Knowledge of SAS architecture. Good knowledge on Datawarehousing and ETL concepts Excellent SQL knowledge Has experience in client facing roles and be able to communicate with customers on a daily basis Good communication and inter personal skills

Minimum 8 years of experience in ETL development using SAS Data Integration Studio 4.9 ETL toolset. Skilled in various DI transformations including Look-up, Loop, Transpose, Sort, Append, Rank, List Data, Extract, Table Loader, Merger, Split, SQL, SCD Type 1 & Type 2 Loader, Data Validation, Creating Custom Transformations, Change Data Capture, managing indexes and constraints, using In-Database processing, verifying data quality settings, Importing SAS Code, Deploying & Scheduling Jobs, chaining jobs, metadata promotion Strong industry experience working in the data warehouse/BI arena including experience in data warehouse methodologies, including data management, data integration and analytics system architecture. Integrate and manage the data mappings from data sources to the Enterprise Data Warehouse using the SAS Data Management solution. Hands on experience in Base SAS, Advance SAS programming, SAS Macros, SQL and optimization techniques. Knowledge of SAS architecture. Good knowledge on Datawarehousing and ETL concepts Excellent SQL knowledge Has experience in client facing roles and be able to communicate with customers on a daily basis Good communication and inter personal skills

Minimum 8 years of experience in ETL development using SAS Data Integration Studio 4.9 ETL toolset. Skilled in various DI transformations including Look-up, Loop, Transpose, Sort, Append, Rank, List Data, Extract, Table Loader, Merger, Split, SQL, SCD Type 1 & Type 2 Loader, Data Validation, Creating Custom Transformations, Change Data Capture, managing indexes and constraints, using In-Database processing, verifying data quality settings, Importing SAS Code, Deploying & Scheduling Jobs, chaining jobs, metadata promotion Strong industry experience working in the data warehouse/BI arena including experience in data warehouse methodologies, including data management, data integration and analytics system architecture. Integrate and manage the data mappings from data sources to the Enterprise Data Warehouse using the SAS Data Management solution. Hands on experience in Base SAS, Advance SAS programming, SAS Macros, SQL and optimization techniques. Knowledge of SAS architecture. Good knowledge on Datawarehousing and ETL concepts Excellent SQL knowledge Has experience in client facing roles and be able to communicate with customers on a daily basis Good communication and inter personal skills

Minimum 8 years of experience in ETL development using SAS Data Integration Studio 4.9 ETL toolset. Skilled in various DI transformations including Look-up, Loop, Transpose, Sort, Append, Rank, List Data, Extract, Table Loader, Merger, Split, SQL, SCD Type 1 & Type 2 Loader, Data Validation, Creating Custom Transformations, Change Data Capture, managing indexes and constraints, using In-Database processing, verifying data quality settings, Importing SAS Code, Deploying & Scheduling Jobs, chaining jobs, metadata promotion Strong industry experience working in the data warehouse/BI arena including experience in data warehouse methodologies, including data management, data integration and analytics system architecture. Integrate and manage the data mappings from data sources to the Enterprise Data Warehouse using the SAS Data Management solution. Hands on experience in Base SAS, Advance SAS programming, SAS Macros, SQL and optimization techniques. Knowledge of SAS architecture. Good knowledge on Datawarehousing and ETL concepts Excellent SQL knowledge Has experience in client facing roles and be able to communicate with customers on a daily basis Good communication and inter personal skills

Minimum 8 years of experience in ETL development using SAS Data Integration Studio 4.9 ETL toolset. Skilled in various DI transformations including Look-up, Loop, Transpose, Sort, Append, Rank, List Data, Extract, Table Loader, Merger, Split, SQL, SCD Type 1 & Type 2 Loader, Data Validation, Creating Custom Transformations, Change Data Capture, managing indexes and constraints, using In-Database processing, verifying data quality settings, Importing SAS Code, Deploying & Scheduling Jobs, chaining jobs, metadata promotion Strong industry experience working in the data warehouse/BI arena including experience in data warehouse methodologies, including data management, data integration and analytics system architecture. Integrate and manage the data mappings from data sources to the Enterprise Data Warehouse using the SAS Data Management solution. Hands on experience in Base SAS, Advance SAS programming, SAS Macros, SQL and optimization techniques. Knowledge of SAS architecture. Good knowledge on Datawarehousing and ETL concepts Excellent SQL knowledge Has experience in client facing roles and be able to communicate with customers on a daily basis Good communication and inter personal skills

Minimum 8 years of experience in ETL development using SAS Data Integration Studio 4.9 ETL toolset . Skilled in various DI transformations including Look-up, Loop, Transpose, Sort, Append, Rank, List Data, Extract, Table Loader, Merger, Split, SQL, SCD Type 1 & Type 2 Loader, Data Validation, Creating Custom Transformations, Change Data Capture, managing indexes and constraints, using In-Database processing, verifying data quality settings, Importing SAS Code, Deploying & Scheduling Jobs, chaining jobs, metadata promotion Strong industry experience working in the data warehouse/BI arena including experience in data warehouse methodologies, including data management, data integration and analytics system architecture. Integrate and manage the data mappings from data sources to the Enterprise Data Warehouse using the SAS Data Management solution. Hands on experience in Base SAS, Advance SAS programming, SAS Macros, SQL and optimization techniques. Knowledge of SAS architecture. Good knowledge on Datawarehousing and ETL concepts Excellent SQL knowledge Has experience in client facing roles and be able to communicate with customers on a daily basis Good communication and inter personal skills

Minimum 8 years of experience in ETL development using SAS Data Integration Studio 4.9 ETL toolset . Skilled in various DI transformations including Look-up, Loop, Transpose, Sort, Append, Rank, List Data, Extract, Table Loader, Merger, Split, SQL, SCD Type 1 & Type 2 Loader, Data Validation, Creating Custom Transformations, Change Data Capture, managing indexes and constraints, using In-Database processing, verifying data quality settings, Importing SAS Code, Deploying & Scheduling Jobs, chaining jobs, metadata promotion Strong industry experience working in the data warehouse/BI arena including experience in data warehouse methodologies, including data management, data integration and analytics system architecture. Integrate and manage the data mappings from data sources to the Enterprise Data Warehouse using the SAS Data Management solution. Hands on experience in Base SAS, Advance SAS programming, SAS Macros, SQL and optimization techniques. Knowledge of SAS architecture. Good knowledge on Datawarehousing and ETL concepts Excellent SQL knowledge Has experience in client facing roles and be able to communicate with customers on a daily basis Good communication and inter personal skills

Minimum 8 years of experience in ETL development using SAS Data Integration Studio 4.9 ETL toolset . Skilled in various DI transformations including Look-up, Loop, Transpose, Sort, Append, Rank, List Data, Extract, Table Loader, Merger, Split, SQL, SCD Type 1 & Type 2 Loader, Data Validation, Creating Custom Transformations, Change Data Capture, managing indexes and constraints, using In-Database processing, verifying data quality settings, Importing SAS Code, Deploying & Scheduling Jobs, chaining jobs, metadata promotion Strong industry experience working in the data warehouse/BI arena including experience in data warehouse methodologies, including data management, data integration and analytics system architecture. Integrate and manage the data mappings from data sources to the Enterprise Data Warehouse using the SAS Data Management solution. Hands on experience in Base SAS, Advance SAS programming, SAS Macros, SQL and optimization techniques. Knowledge of SAS architecture. Good knowledge on Datawarehousing and ETL concepts Excellent SQL knowledge Has experience in client facing roles and be able to communicate with customers on a daily basis Good communication and inter personal skills

Minimum 8 years of experience in ETL development using SAS Data Integration Studio 4.9 ETL toolset. Skilled in various DI transformations including Look-up, Loop, Transpose, Sort, Append, Rank, List Data, Extract, Table Loader, Merger, Split, SQL, SCD Type 1 & Type 2 Loader, Data Validation, Creating Custom Transformations, Change Data Capture, managing indexes and constraints, using In-Database processing, verifying data quality settings, Importing SAS Code, Deploying & Scheduling Jobs, chaining jobs, metadata promotion Strong industry experience working in the data warehouse/BI arena including experience in data warehouse methodologies, including data management, data integration and analytics system architecture. Integrate and manage the data mappings from data sources to the Enterprise Data Warehouse using the SAS Data Management solution. Hands on experience in Base SAS, Advance SAS programming, SAS Macros, SQL and optimization techniques. Knowledge of SAS architecture. Good knowledge on Datawarehousing and ETL concepts Excellent SQL knowledge Has experience in client facing roles and be able to communicate with customers on a daily basis Good communication and inter personal skills

Minimum 8 years of experience in ETL development using SAS Data Integration Studio 4.9 ETL toolset. Skilled in various DI transformations including Look-up, Loop, Transpose, Sort, Append, Rank, List Data, Extract, Table Loader, Merger, Split, SQL, SCD Type 1 & Type 2 Loader, Data Validation, Creating Custom Transformations, Change Data Capture, managing indexes and constraints, using In-Database processing, verifying data quality settings, Importing SAS Code, Deploying & Scheduling Jobs, chaining jobs, metadata promotion Strong industry experience working in the data warehouse/BI arena including experience in data warehouse methodologies, including data management, data integration and analytics system architecture. Integrate and manage the data mappings from data sources to the Enterprise Data Warehouse using the SAS Data Management solution. Hands on experience in Base SAS, Advance SAS programming, SAS Macros, SQL and optimization techniques. Knowledge of SAS architecture. Good knowledge on Datawarehousing and ETL concepts Excellent SQL knowledge Has experience in client facing roles and be able to communicate with customers on a daily basis Good communication and inter personal skills

Educational Requirements Bachelor of Engineering Service Line Data & Analytics Unit Responsibilities Minimum 3-5 years of work experience in SAS EG and SAS CI Hands on experience in data transferring from different sources to SAS database Expertise in Data Step and Proc Step including merge statement , proc sql and macros , SAS functions Experience in automation and SAS reporting Good communication skill is must. Candidate should independently work deliver the project work as well as deal with client . Location : Any Infosys DC in India Preferred Skills: Technology->ETL & Data Quality->ETL & Data Quality - SAS->SAS - SAS Data Integration Studio

You should have 4 to 8 years of experience in the following areas: - Experience with Base SAS, SAS Connect Resubmitting, Proc Compare, and assigning libraries. - Proficiency in SAS Macros. - Advanced SAS certification. - Ability to compare reports/outputs between On-prem and SAS Viya. - Proven experience as a tester in test processes including test design, test execution, test evidence, defect triage, and test closure. Mandatory Skill: - SAS,

You are a highly skilled Senior SAS Programmer sought to support statistical programming activities for clinical trials. Your responsibilities include end-to-end SAS programming for analysis and reporting, ensuring regulatory compliance, data standards, and high-quality deliverables. Your expertise in efficacy analysis, SDTM and ADaM generation, and TLF programming is crucial for this role. You will manipulate, analyze, and report clinical trial data using SAS, generating and validating SDTM and ADaM datasets in adherence to CDISC standards. Additionally, you will create and validate Tables, Listings, and Figures (TLFs) for study reports and regulatory submissions. Your role involves developing complex ad-hoc reports from raw clinical data and applying a deep understanding of efficacy analyses and clinical endpoints. Contribution to the preparation and review of submission documents and eCRTs is expected, as well as production programming and quality control to ensure accuracy and consistency. As a team player, you will commit to quality and meeting project deadlines, remaining adaptable and flexible in a fast-paced clinical environment. Qualifications required include a Bachelors or Masters degree in Life Sciences, Statistics, Computer Science, or a related field, along with 6+ years of hands-on experience in clinical trial programming using SAS. Proficiency in CDISC standards, Base SAS, SAS Macros, SAS/STAT, and SAS/GRAPH is essential. Experience in generating datasets and outputs for regulatory submissions and familiarity with eCTD standards are preferred. Strong attention to detail and analytical problem-solving skills are necessary for this role. Join a collaborative team environment where your expertise in clinical data programming directly contributes to advancing global healthcare. Precision, integrity, and innovation are valued in every project undertaken.,

You should have a strong hands-on experience in SAS Macros, SAS DI, and SAS Enterprise Guide (EG). It is essential to have a good understanding of SAS DI Studio and Database Concepts. Proficiency in automating MIS / Dashboards using SAS is required. Familiarity with SAS VIYA and SQL will be an advantage. Prior experience in the banking domain is preferred. Your responsibilities will include developing and automating reports based on business requirements. You will be working with large datasets to enhance the performance of SAS codes. Adapting and enhancing existing SAS logic for new needs is crucial. Ensuring timely and efficient delivery of MIS dashboards and analytics is a key part of the role. The ideal candidate should hold a Full-time Graduate (B.Tech/B.E.) or Postgraduate (M.Tech/M.E.) degree. We are looking for individuals with excellent communication and interpersonal skills. The ability to multitask and deliver results within tight timelines is essential. This role is based in Mumbai. This is a Contractual / Temporary position with a Day shift schedule. Candidates with at least 3 years of experience in SAS will be preferred. Please note that the work location is in person.,

You should have 4 to 8 years of experience in working with SAS. Your skill set should include proficiency in Base SAS, SAS Connect Resubmitting, Proc Compare, and assigning libraries. Additionally, you must have experience with SAS Macros and hold an Advanced SAS Certification. It is essential that you are capable of comparing reports and outputs between On-prem and SAS Viya. You should also be an experienced tester with expertise in test processes such as Test Design, Test Execution, Test Evidence, Defect Triage, and Test Closure. A mandatory skill for this role is proficiency in SAS.,

You should have 4 to 8 years of experience in SAS with the following skill set: - Proficiency in Base SAS, SAS Connect Resubmitting, Proc Compare, and assigning libraries. - Strong experience in SAS Macros. - Advanced SAS certification is required. - Capable of comparing reports/outputs between On-premises and SAS Viya. - Experience in testing processes including Test Design, Test Execution, Test Evidence, Defect Triage, and Test Closure. The mandatory skill for this role is SAS.,

ICON people have a mission to succeed and a passion that ensures what we do, we do well, Create and Validate Safety and Efficacy Analysis Datasets in adherence with CDISC and client specific standards and maintain quality and accuracy, Create and Validate Safety and Efficacy Tables, Listings and Figures with high quality and accuracy, Create Study specific or general macros and finalize programming specifications/mock-ups, Adhere to programming specifications and study specific requirements, including completion and filing of required documentation, Plan and organize workload to ensure effective time management and adherence to project specific timelines, Proactively plan for and implement effective resource planning, task allocation and tracking of workload in accordance with agreed KPIs and quality standards Trouble-shoot and resolve programming issues in a timely and efficient manner, Ability to work independently and as part of a team environment, Strong problem solving and organizational skills, attention to detail, verbal and written communications skills, Proactively communicate and work effectively with the biostatistics team including remote teams and with senior programming, management and sponsor personnel to achieve study goals, 6+ yearswork experience in a ADAM programming and R Create and Validate Safety and Efficacy Tables, Listings and Figures with high quality and accuracy, Experience in creation of ADaM Datasets for Safety and efficacy domains, Very strong SAS programming skills required in SAS/Base, PROC SQL,SAS/Stat, SAS Macros and SAS/Graph (Base and Advance SAS), Benefits Of Working In ICON

You will be responsible for providing statistical programming support to clinical trials at Statistics & Data Corporation (SDC), a specialized contract research organization headquartered in Arizona. Since 2005, SDC has been delivering top-tier clinical trial services to pharmaceutical, biologic, and medical device/diagnostic companies. As part of a technology-enabled service offering, you will contribute to both clinical services expertise and technological support required for successful clinical trials. Your primary responsibilities will include performing all statistical programming necessary for clinical trial analysis and reporting. You will apply appropriate statistical methods for data analysis, review Statistical Analysis Plans, and design/develop SAS macros and utilities to streamline programming activities. Additionally, you will generate tables, listings, and figures per protocol and client requests, participate in program validation and quality control activities, and develop SDTM and ADaM datasets. You will collaborate with various departments such as Clinical Operations, Project Management, and Data Management to ensure high client satisfaction through successful project execution. Your role will also involve mentoring junior statistical programmers, maintaining project files, adhering to quality systems, and complying with data integrity and business ethics requirements. To be successful in this role, you must possess strong analytical skills, proficiency in SAS programming (including SAS/Base, SAS/Stat, and SAS Macros), and a basic understanding of SAS/Graph. You should have a solid grasp of statistical programming, the ability to identify and resolve data issues, and excellent communication skills to convey technical concepts clearly to non-statistical colleagues. Familiarity with clinical trial design, regulatory guidelines, and CDISC SDTM and ADaM data models is essential. Ideally, you should hold a Bachelor's degree in computer science, statistics, or a related scientific field, along with four years of relevant professional experience. SDC offers a supportive work environment that values employee development, growth opportunities, career advancement, flexible work schedules, an engaging culture, and various benefits. Join SDC's dynamic team and contribute to the successful execution of client clinical programs while being part of a company that fosters innovation, growth, and a sense of belonging among its employees.,

You will be responsible for developing, configuring, and maintaining SAS Fraud Management (SFM) solutions to detect and prevent fraud effectively. This includes integrating SAS SFM with internal and external systems to ensure seamless data flow and analysis. Your role will involve designing, implementing, and fine-tuning fraud detection models to accurately identify fraudulent transactions. Customizing rules, alerts, and workflows within SAS SFM according to organizational requirements is a crucial aspect of your responsibilities. You will analyze large datasets to identify fraud patterns and trends, generating accurate and actionable insights. Monitoring system performance and optimizing SAS SFM applications for efficiency and scalability will be part of your daily tasks. Thorough testing, including unit, system, and UAT, must be conducted to ensure that solutions align with business needs. Adherence to regulatory requirements and organizational standards is essential in all SFM implementations. Collaboration with business, IT teams, and stakeholders is necessary to understand fraud management needs and deliver effective solutions. Your skills in SAS technologies, especially SAS Fraud Management (SFM), will be utilized to the fullest. Proficiency in Base SAS, SAS Macros, SAS Enterprise Guide, and SAS Visual Analytics is required. Experience in data integration using ETL tools, knowledge of database systems (SQL/Oracle/PostgreSQL), and advanced query skills are essential for this role. A strong understanding of fraud detection methodologies, rules, and algorithms will be beneficial. As an IT Graduate (B.E. (IT), B.Sc.(IT), B. Tech, BCA, MCA, M.Tech), you will be expected to create and maintain detailed technical and functional documentation for all SFM implementations. The posted date for this project is January 20, 2025. This is a permanent position requiring an experienced professional with a background in project management.,

As a Statistical Programmer at Statistics & Data Corporation (SDC), a reputable contract research organization based in Arizona, you will be responsible for providing statistical programming support for clinical trials. Your primary role will involve producing statistical analyses, generating and validating analysis datasets, tables, listings, and figures for clinical trials. You will be required to create SDTM mapping and datasets, develop and maintain project files of SAS datasets and SAS code, and support Data Management in various data-related tasks. Additionally, you will act as a liaison between clinical subcommittees and project teams as needed. Your responsibilities will include overseeing statistical programming activities for medium to large-scale projects, applying appropriate statistical methods for data analysis, and providing statistical programming expertise to project teams. You will review the Statistical Analysis Plan, lead the development of SAS macros and utilities, and conduct internal training sessions. Furthermore, you will be responsible for generating tables, listings, and figures as per protocol requirements, participating in statistical program validation activities, and developing SDTM and ADaM datasets. You will also ensure compliance with CDISC and FDA guidelines, develop define.xml and study data reviewer's guides, and communicate effectively with project teams and management. In addition to the technical aspects of the role, you will play a key role in mentoring junior statistical programmers, managing programming timelines and budgets, and ensuring adherence to SDC's standard procedures and quality system. Strong analytical and problem-solving skills, proficiency in SAS programming, and knowledge of regulatory guidelines are essential for this position. To qualify for this role, you should possess a Bachelor's degree in computer science, statistics, or a related scientific field, along with at least six years of relevant professional experience. Certification in SAS Base, Advance, and Clinical Trials is preferred. At SDC, we are committed to the growth and development of our employees, providing a flexible work schedule, engaging work culture, and career advancement opportunities. Our company culture is centered around core values such as Energy, Integrity, Engagement, and Innovation. Join our team and be part of a dynamic and innovative organization that is dedicated to supporting both our clients and employees in this ever-evolving industry.,