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

This role offers the opportunity to lead statistical programming activities supporting clinical development and regulatory submissions. You will apply advanced SAS and R programming expertise across clinical studies, with a robust focus on CDISC-compliant SDTM and ADaM datasets. The position combines hands-on programming with technical oversight, quality assurance, and guidance for other programmers. You will work closely with Biostatistics, Data Management, Clinical, and other cross-functional teams to deliver accurate and timely outputs. The role also provides opportunities to improve programming processes, develop reusable tools, and strengthen standards across projects. You will operate in a fast-paced, international clinical development environment where attention to detail and collaboration are essential.

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Accountabilities

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Independently develop, validate, maintain,



and quality-check SAS and R programs supporting clinical studies and regulatory submissions.

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Develop and validate SDTM and ADaM datasets in accordance with CDISC standards, study specifications, and project requirements.

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Program, generate, review, and validate efficacy and safety Tables, Listings, and Figures (TFLs) based on statistical analysis plans, mock shells, and internal standards.

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Support programming deliverables across multiple studies and projects while maintaining high standards of quality and timeliness.

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Collaborate with Biostatistics, Data Management, Clinical, and other cross-functional teams to resolve data issues and support study objectives.

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Participate in code reviews, debugging, validation, and quality-control activities, including reviewing and validating code developed by other team members.

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Contribute to programming documentation, dataset specifications, standard processes, an

📌 Manager, Statistical Programming (India)
🏢 Jobgether
📍 India