Clinical SAS Programmer – SAS & R Programming

<h3>Accountabilities:</h3><li>Develop, maintain, and validate clinical trial datasets using SAS and R programming to support clinical data analysis and reporting.</li><li>Create, implement, and validate datasets in accordance with CDISC standards, particularly SDTM and ADaM.</li><li>Generate and validate Tables, Listings, and Figures (TLFs) for clinical study reports and regulatory submissions.</li><li>Perform programming validation, quality control checks, and discrepancy resolution to ensure the accuracy, consistency, and reliability of clinical data.</li><li>Apply SAS macros, data manipulation techniques, and statistical programming methods to support clinical research deliverables.</li><li>Ensure that programming activities comply with applicable clinical research standards, data quality expectations, and regulatory requirements.</li><li>Maintain clear and accurate programming documentation, traceability, and validation records.</li><li>Collaborate with biostatistics, clinical data management, and other cross-functional teams to deliver high-quality clinical programming outputs on schedule.</li><h2>Requirements:</h2><li>A minimum of<strong>3 years of relevant experience in Clinical SAS Programming</strong>is required.</li><li>At least<strong>1 year of hands-on R Programming experience</strong>is mandatory. Candidates with SAS experience but without the required R programming experience will not be considered.</li><li>A relevant<strong>Clinical SAS Programming certification</strong>is required.</li><li>Strong practical knowledge of clinical trial data, including SDTM and ADaM standards and the development and validation of clinical datasets.</li><li>Experience generating Tables, Listings, and Figures (TLFs) and supporting clinical study reporting and regulatory submissions.</li><li>Proficiency in SAS macros, data manipulation, statistical programming, programming validation, and quality control processes.</li><li>A solid understanding of clinical research standards, regulatory requirements, and data quality practices.</li><li>Strong analytical and problem-solving abilities, exceptional attention to detail, and effective written and verbal communication skills.</li><li>The ability to collaborate effectively with cross-functional teams, manage programming deliverables, and maintain accurate technical documentation.</li><li>Availability to join within a<strong>30–60-day notice period</strong>is preferred.</li><h2>Benefits:</h2><li>
<strong>Competitive annual salary:</strong>₹12,00,000–₹20,00,000, depending on experience and suitability.</li><li>
<strong>Permanent, full-time employment</strong>offering the opportunity to contribute to clinical research and statistical programming projects.</li><li>
<strong>Fully remote work arrangement:</strong>Work from home from anywhere in India.</li><li>
<strong>Geographic flexibility:</strong>Open to eligible candidates across India, without the need to relocate to a specific office location.</li><li>
<strong>Technical growth:</strong>Opportunities to apply and strengthen expertise in Clinical SAS, R programming, clinical data standards, and regulatory programming workflows.</li><li>
<strong>Cross-functional collaboration:</strong>Work alongside professionals in biostatistics and clinical data management in a collaborative clinical research environment.</li>