Statistical Programmer

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Statistical Programmer based in India.

This role plays a key part in supporting clinical research by transforming complex clinical trial data into high-quality statistical outputs used for regulatory submissions, study reporting, and decision-making. You will be responsible for programming and validating SDTM and ADaM datasets, as well as generating tables, listings, and figures (TLFs) that support clinical study reports and interim analyses. The position requires close collaboration with biostatistics, data management, and cross-functional clinical teams to ensure accuracy, compliance, and consistency across deliverables. You will also contribute to data cleaning activities and help enhance programming efficiency through standardized SAS macros and automation initiatives. The environment is highly regulated, detail-oriented, and quality-driven, requiring adherence to global standards such as CDISC, ICH, and regulatory guidelines. This is a great opportunity for professionals looking to grow within clinical research and contribute to impactful pharmaceutical and biotech studies.

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Statistical Programmer based in India.

This role plays a key part in supporting clinical research by transforming complex clinical trial data into high-quality statistical outputs used for regulatory submissions, study reporting, and decision-making. You will be responsible for programming and validating SDTM and ADaM datasets, as well as generating tables, listings, and figures (TLFs) that support clinical study reports and interim analyses. The position requires close collaboration with biostatistics, data management, and cross-functional clinical teams to ensure accuracy, compliance, and consistency across deliverables. You will also contribute to data cleaning activities and help enhance programming efficiency through standardized SAS macros and automation initiatives. The environment is highly regulated, detail-oriented, and quality-driven, requiring adherence to global standards such as CDISC, ICH, and regulatory guidelines. This is a great opportunity for professionals looking to grow within clinical research and contribute to impactful pharmaceutical and biotech studies.

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

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