Clinical SAS Programmer – SAS & R Programming

Job description

**This position is listed on behalf of a partner company, which manages all applications and next steps. Our partner is looking for a Clinical SAS Programmer – SAS & R Programming based in India.** Join a clinical programming team where your expertise in SAS and R will contribute to reliable clinical trial data analysis and regulatory submissions. In this role, you will develop, maintain, and validate clinical datasets while ensuring compliance with industry standards and regulatory requirements. You will work extensively with SDTM and ADaM data standards, statistical programming, and Tables, Listings, and Figures (TLFs). Collaborating with biostatistics and data management professionals, you will help ensure data accuracy, consistency, and quality throughout the clinical research process. This opportunity is ideal for an experienced programmer who combines strong technical capabilities with analytical thinking and attention to detail. Enjoy the flexibility of a permanent, fully remote position open to candidates across India. ### Accountabilities: - Develop, maintain, and validate clinical trial datasets using SAS and R programming to support clinical data analysis and reporting. - Create, implement, and validate datasets in accordance with CDISC standards, particularly SDTM and ADaM. - Generate and validate Tables, Listings, and Figures (TLFs) for clinical study reports and regulatory submissions. - Perform programming validation, quality control checks, and discrepancy resolution to ensure the accuracy, consistency, and reliability of clinical data. - Apply SAS macros, data manipulation techniques, and statistical programming methods to support clinical research deliverables. - Ensure that programming activities comply with applicable clinical research standards, data quality expectations, and regulatory requirements. - Maintain clear and accurate programming documentation, traceability, and validation records. - Collaborate with biostatistics, clinical data management, and other cross-functional teams to deliver high-quality clinical programming outputs on schedule. ## Requirements: - A minimum of **3 years of relevant experience in Clinical SAS Programming** is required. - At least **1 year of hands-on R Programming experience** is mandatory. Candidates with SAS experience but without the required R programming experience will not be considered. - A relevant **Clinical SAS Programming certification** is required. - Strong practical knowledge of clinical trial data, including SDTM and ADaM standards and the development and validation of clinical datasets. - Experience generating Tables, Listings, and Figures (TLFs) and supporting clinical study reporting and regulatory submissions. - Proficiency in SAS macros, data manipulation, statistical programming, programming validation, and quality control processes. - A solid understanding of clinical research standards, regulatory requirements, and data quality practices. - Strong analytical and problem-solving abilities, exceptional attention to detail, and effective written and verbal communication skills. - The ability to collaborate effectively with cross-functional teams, manage programming deliverables, and maintain accurate technical documentation. - Availability to join within a **30–60-day notice period** is preferred. ## Benefits: - **Competitive annual salary:** ₹12,00,000–₹20,00,000, depending on experience and suitability. - **Permanent, full-time employment** offering the opportunity to contribute to clinical research and statistical programming projects. - **Fully remote work arrangement:** Work from home from anywhere in India. - **Geographic flexibility:** Open to eligible candidates across India, without the need to relocate to a specific office location. - **Technical growth:** Opportunities to apply and strengthen expertise in Clinical SAS, R programming, clinical data standards, and regulatory programming workflows. - **Cross-functional collaboration:** Work alongside professionals in biostatistics and clinical data management in a collaborative clinical research environment.