Role & responsibilities '' Immediate Joiners Preferred '' Role : Senior Statistical Programmer Location : Hyderabad Experience : Minimum 7 years as Clinical Statistical Programmer We are looking for Senior Statistical Programmer who is responsible for designing, developing, and implementing complex statistical programming solutions to support clinical trial data analysis. This role involves collaboration with cross-functional teams, including Biostatistics, Clinical Data Management, and Regulatory Affairs, to ensure high-quality and timely data deliverables. The Senior Statistical Programmer is expected to handle programming activities for clinical studies and may provide guidance to junior programmers. Key Responsibilities Act as programming lead on Phase I-IV group of studies. Leading the studies and acting as the POC for multiple studies. Perform programming activities for a trail indication. Write and manage SAS code for mapping clinical data to SDTM data structures in conformance with SDTM Implementation Guide, project standards, and the study protocol. Perform CDISC activities in accordance with corporate quality standards, SOPs/Work Instruction/Guidelines, ICH-GCP and/or other regulatory requirements. Develop/Validate SAS analysis datasets (ADaM) and prepare tables, listings, and figures as per specifications, SAP and Mockshell. Creates programs to prepare graphs and tables that are required in clinical study reports, safety reports, efficacy reports, etc., ensuring on-time quality delivery. Perform CRF annotation and Specification creation as per CDISC standards. Validate tables, listings, and figures as per client required Mockshells. Supporting database QC activities. Support client and internal audits. Validate and transform datasets as per client specifications. Validate tables, listings, and figures as per client required specifications. Ability to work on data migration from legacy datasets to standards such as CDISC and client specific requirements. Communicating actively and frequently with other team members and ensuring adherence to working practice documents and SOPs. Co-ordinate with the client regarding data issues, outliers, reviews, etc. Provide CDISC training, guidance, and project leadership to team members. Education & Qualification M.Sc. Statistics, Bachelors/Masters degree in Life Sciences, B. Tech (Any stream) and B. Pharmacy/M. Pharmacy Skills Strong written and oral communication skills and time management skills Ability to effectively prioritize and execute tasks in a high-pressure environment. Ability to work independently, take initiative and complete tasks to deadlines. Ability to work in a team-oriented, collaborative environment. Ability to work positively within a continually changing environment. To be determined in achieving goals Ability to manage multiple projects under tight timelines Knowledge & Experience Strong knowledge of global clinical trial practices, procedures, development process, and clinical trial data flow Knowledge in TLF’s Knowledge in Data Analysis using SAS Knowledge in Generating DEFINE.XML and Reviewers Guides for regulatory submissions. Preferred candidate profile

Job Title: Principal Statistical Programmer Experience: Minimum 12 year of experience as clinical SAS programmer Location: Hyderabad Job Type: Full-Time Professional Summary: The Principal Statistical Programmer is responsible for leading and developing high-quality programming that support sponsors research programs at an expert level. In addition, the Principal Statistical Programmer has an active role in continuous improvement and is expected to act as a leader in the department. Roles and Responsibilities: Follow the department and company standard operating procedures (SOPs), policies, and standards. Provide feedback and update these guidelines as needed. Using SAS, perform SDTM, ADaM, and table, figure, and listing (TFL)programming, quality control (QC) review, and create documentation of programs used in creating statistical outputs. May perform role of Lead Statistical Programmer on studies, portions of studies, or programs. Act as expert in programming and Clinical Data Interchange Standards Consortium (CDISC) deliverables. Understand regulatory agency standards and provide final deliverables in accordance with these standards (i.e., final CDISC deliverables for studies to be included in Food and Drug Administration [FDA] submissions). Collaborate with Lead Biostatisticians and the study team to resolve any study-related questions and ensure that programming outputs represent the statistical analysis plan (SAP) and raw data from external sources and the clinical database. Perform peer review and take accountability for ensuring programming accurately reflects the raw data. Follow current SDTM standards and current ADaM Implementation Guides. Lead studies and/or study-related programming activities. Perform review of the clinical database in regard to visit naming, Clinical Data Acquisition Standards Harmonization (CDASH), and accurate data collection to provide clinical data that is analyzable and meets the needs of the Biostatistics team. Understand timelines and milestones affecting work. Create Biostatistics deliverables that follow the protocol and SAP. Understand and update SAS programs to adapt to various study situations and perform self-review to ensure outputs are as expected. Accurately import external data to be used in TFLs. Reconcile external data and provide findings for non-reconcilable items to the Data Management team. Interact with other staff members to understand and explain SAS programs accurately. Provide technical expertise for internal and external clients and independently bring project solutions to the Biostatistics team and other departments. Analyze existing processes and explore improvement solutions. Develop and lead in intradepartmental or interdepartmental process and quality improvement initiatives. Perform and plan the development, implementation and validation of new process technologies, macros, and applications. Oversee direct reports as assigned. Mentor and train programmers or other team members and/or develop training materials as needed. Other tasks as requested. Educational Qualification: Bachelor's Degree in programming, health-related sciences, or relevant field. Skills: Good to have R programming knowledge and experience. Excellent verbal and written communication skills. Professional attitude and strong interpersonal skills. Ability to work well with a multi-disciplinary team of professionals. Client-focused approach to work. Flexible attitude with respect to work assignments and new learning. Ability to prioritize workload. Superior attention to detail. Understanding of clinical research and the relationship of Data Management in the clinical study process. Proven history of continuous improvement. Successful management or mentoring experience of direct or indirect reports. Strong technical aptitude and ability to adapt to multiple data management platforms. Good computer skills (Microsoft Word, Excel, and Power Point) and ability to understand and adapt to multiple information technology (IT) systems Role & responsibilities Preferred candidate profile

Role & responsibilities Role : Third Party Data Acquisition Study Analyst * Collaborate closely with the Third Party Data Acquisition Study Analyst to facilitate the setup and acquisition of external clinical data at the study level during study startup, conduct, and closeout phases. * Ensure data accuracy, completeness, and consistency through effective cleaning, validation, and transformation processes. * Monitor data feeds regularly to uphold data quality and accuracy. * Support the setup of infrastructure enabling external data integration into client's clinical data pipelines. * Provide guidance and coordination to vendors on data acquisition systems, including GlobalScape, Veeva FTP, Veeva training, and IP whitelisting. * Review incoming data from multiple sources to confirm compliance with Data Transfer Agreements (DTA) regarding format, file extensions, and field requirements. Validate all third-party data generated during clinical trials for integration into Clients clinical data ecosystem. * Assist the Third Party Data Acquisition Study Analyst in conducting periodic Trial Master File (TMF) reviews per the study TMF plan. * Adhere to procedural documents and participate in their review and updates to ensure alignment with industry standards, regulatory requirements, and best practices. * Coordinate with and review deliverables from external partners (e.g., labs, eCOA providers, technology vendors) performing services for Client. * Appropriately escalate issues to the Third Party Data Acquisition Study Lead. * Routinely monitor proprietary applications for scanned mail and distribute documents to relevant teams.Perform regular quality checks to ensure optimal system performance and data integrity. Preferred candidate profile

www.inductivequotient.com Finance Manager About Us: Inductive Quotient was founded by statisticians and technology industry experts with over 20 years of experience Inductive quotient aims to transform businesses and processes with its advanced digitization capabilities. With advanced AI and Machine Learning techniques we are helping Life Sciences industry to create a better healthcare system, and our Data Science capabilities helps organizations to create breakthrough solutions to transform businesses and drive sales growth. Website: www.inductivequotient.com Position: Finance Manager Requirement: Immediate Joiner Location: Hyderabad Mode: Work from office. Job description: We are looking for a proactive and detail-oriented Finance Manager with 23 years of experience to join Inductive Quotient Analytics. This role is ideal for someone ready to take on more responsibility in financial planning, analysis, and reporting within a fast-paced environment. Youll support strategic decision-making by delivering actionable financial insights, managing budgets, and optimizing financial processes. Key Responsibilities: Financial Planning & Analysis: Assist in preparing annual budgets, monthly MIS, variance analyses etc. Support financial Modeling and scenario planning to guide business decisions Track and report key metrics such as MRR, ARR, CAC, and LTV Reporting & Compliance: Prepare monthly and quarterly financial reports for internal stakeholders Ensure data accuracy and compliance with internal policies and accounting standards Support audit and tax filing processes by maintaining well-organized records Strong experience in creating export-Specific & Regulatory Reports like FIRC, BRC, Export Invoice Reports, SOFTEX forms etc. Good experience in preparing reports Project-wise Revenue & Cost Reports, Accounts Receivable Aging Report, Budget vs. Actual Report, FX Gain/Loss Report, MRR. Revenue & Expense Management: Work with sales and operations teams to track revenue, monitor contracts, and validate billing Analyse operating expenses and highlight areas for cost optimization Monitor cash flow and support accounts receivable/payable tracking Process Improvement & Systems: Assist in automating reports and improving financial processes Work with finance software tools (e.g., QuickBooks, Excel, Tally, Zoho Books, or ERP systems) to ensure data integrity Contribute to the implementation of financial tools and dashboards Qualifications: Education & Experience: CA Inter or CA completed. 2to3 years of relevant experience in finance, preferably in a tech or software company. Experience with SaaS metrics, subscription-based models, or startup environments is a plus. Skills: Strong analytical and problem-solving skills Proficient in Excel or Google Sheets; familiarity with ERP/accounting tools (e.g., QuickBooks, NetSuite) Excellent communication and organizational abilities Ability to work independently and collaborate across teams Having US accounting experience will be an added advantage Why Inductive Quotient? We are team a of 75 + talented and passionate professionals with strong statistical and analytical background combined with required study expertise. We IQians take lots of pride in our culture that enables open and creative thinking, deeply valuing our employees and their contributions towards our organization success.

www.inductivequotient.com Director Clinical Data Management About Us: Inductive Quotient was founded by statisticians and technology industry experts with over 20 years of experience Inductive quotient aims to transform businesses and processes with its advanced digitization capabilities. With advanced AI and Machine Learning techniques we are helping Life Sciences industry to create a better healthcare system, and our Data Science capabilities helps organizations to create breakthrough solutions to transform businesses and drive sales growth. Website: www.inductivequotient.com Position: Clinical Data Management Director Requirement: Immediate Joiner Location: Hyderabad Mode: Work from office. Job description: We are seeking an experienced Director, Clinical Data Management with over 13 years of progressive experience in clinical data management within a CRO environment. The ideal candidate will lead the clinical data management team, oversee complex clinical trials, and ensure the delivery of high-quality, compliant data to support clinical development programs. Key Responsibilities: Provide strategic leadership and oversight to the clinical data management (CDM) team across multiple therapeutic areas and complex clinical trials. Develop and implement data management plans, standards, and procedures to ensure data quality, accuracy, and integrity. Collaborate closely with Clinical Operations, Biostatistics, Medical Writing, and Regulatory teams to support clinical trial planning and execution. Ensure compliance with ICH-GCP, FDA, EMA, and other regulatory requirements governing clinical data management. Mentor, develop, and lead a team of data managers and coordinators, fostering a culture of continuous learning and professional development. Review and approve key data management deliverables such as Data Management Plans (DMP), CRF designs, data validation specifications, and study reports. Support audits and inspections conducted by regulatory authorities and clients. Act as a key point of contact for clients on data management-related matters, ensuring excellent customer service and communication. Contribute to business development activities, including proposal writing and client presentations. Lead the development and execution of data strategy to align with overall clinical development objectives and timelines. Oversee the integration of new technologies, such as AI and machine learning tools, to enhance data quality and efficiency. Establish and maintain key performance indicators (KPIs) and metrics to monitor the effectiveness and productivity of the data management function. Collaborate with IT and software development teams to customize and optimize clinical data systems and tools. Ensure timely resolution of data queries and discrepancies to minimize delays in database lock and study close-out. Drive data governance and data privacy initiatives to comply with GDPR, HIPAA, and other data protection regulations. Lead cross-functional risk assessments and implement mitigation strategies related to clinical data integrity. Represent the clinical data management function in leadership meetings and contribute to strategic planning. Support training programs for new hires and provide continuous education to the CDM team to keep pace with industry trends. Participate in post-study data review and contribute to the publication of clinical trial results. Document lessons learned and best practices to improve future studies. Manage timelines, budgets, and resource allocation for the clinical data management department. Drive process improvements and implement industry best practices and innovative technologies in data capture, validation, and reporting. Oversee vendor selection, management, and performance evaluation for external data management services and EDC providers. Qualifications: Bachelors degree in Life Sciences, Pharmacy, or a related field; advanced degree preferred. Minimum of 13 years of clinical data management experience in a CRO or pharmaceutical setting. Proven leadership experience managing large teams and multiple projects simultaneously. Proficiency with EDC systems (e.g., Medidata Rave, Veeva, Oracle Clinical, Trial Master) and clinical data management tools. Deep knowledge of clinical trial processes, CDISC standards, and regulatory requirements (ICH-GCP, FDA, EMA). Strong project management skills, including budgeting and resource planning. Excellent communication, interpersonal, and client management skills. Ability to work effectively in a fast-paced, dynamic environment and drive cross-functional collaboration. Experience with risk-based monitoring and data quality initiatives is a plus. Maintain up-to-date knowledge of industry standards and regulatory requirements. Excellent organizational skills and ability to manage multiple projects simultaneously. Why Inductive Quotient? We are team a of 75 + talented and passionate professionals with strong statistical and analytical background combined with required study expertise. We IQians take lots of pride in our culture that enables open and creative thinking, deeply valuing our employees and their contributions towards our organization success.