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Senior Statistical Analyst / Senior Statistical Programmer

TCS
6-10 years
INR 18 LPA – 32 LPA
Mumbai, India
1 June 15, 2026
Job Description
Job Type: Full Time Education: M.Pharm/B.Pharm or M.Sc. Skills: Clinical Trials, Detail-Oriented, Drug Development, Lifesciences, Negotiation Skills, Regulatory Compliance, Communication Skills, CPC Certified, Data Analysis, Document Management, Life Science, Regulatory Compliance, Waterfall Model, GCP guidelines, ICD-10 CM Codes, CPT-Codes, HCPCS Codes

Senior Statistical Analyst / Senior Statistical Programmer

Location: Mumbai, Maharashtra, India
Employment Type: Full-Time

Job Summary

The Senior Statistical Analyst / Senior Statistical Programmer is responsible for leading statistical programming activities for clinical development programs, including the development and validation of ADaM datasets, statistical analyses, and Tables, Listings, and Figures (TLFs). The role involves close collaboration with statisticians, clinical teams, and external stakeholders to ensure high-quality, regulatory-compliant deliverables that support clinical trials, safety reporting, and regulatory submissions.


Key Responsibilities

Statistical Programming & Analysis

  • Develop, program, and validate ADaM datasets and statistical analyses using SAS and/or R.

  • Implement Statistical Analysis Plans (SAPs) and Statistical Programming Plans (SPPs) to create analysis-ready datasets.

  • Ensure compliance with CDISC standards, company procedures, and regulatory requirements.

  • Support complex statistical analyses and integrated data review activities.

Clinical Reporting

  • Generate, validate, and review Tables, Listings, and Figures (TLFs) for clinical study reports, safety reports, and regulatory submissions.

  • Ensure accuracy, consistency, traceability, and quality of all statistical outputs.

  • Support submission-ready deliverables for global regulatory agencies.

Data Standards & Compliance

  • Apply advanced knowledge of CDISC standards, including ADaM and SDTM.

  • Maintain adherence to industry standards, SOPs, and regulatory guidelines.

  • Ensure all programming deliverables are audit-ready and appropriately documented.

  • Participate in quality control and validation activities.

Cross-Study & Integrated Analysis

  • Support integrated summaries, pooled analyses, and cross-study data integration activities.

  • Perform complex data manipulation and analysis to support strategic decision-making.

  • Collaborate with statisticians to develop programming approaches for integrated datasets.

Documentation & Quality Management

  • Develop and maintain programming specifications, validation documentation, and programming plans.

  • Review programming outputs and ensure compliance with quality standards.

  • Troubleshoot programming issues and implement effective solutions.

  • Contribute to process improvements and programming efficiencies.

Stakeholder Collaboration

  • Work closely with statisticians, data managers, clinical teams, and external partners.

  • Participate in protocol reviews, SAP reviews, and study planning discussions.

  • Provide technical expertise and guidance on statistical programming activities.

  • Communicate project status, risks, and timelines effectively.


Required Qualifications

Education

  • Master's degree in Statistics, Biostatistics, Mathematics, Computer Science, Pharmacy, Life Sciences, Engineering, or a related field with 6+ years of experience; OR

  • Bachelor's degree in a relevant discipline with 8+ years of experience.

Experience

  • 6–10 years of experience in Statistical Programming, Biostatistics, Clinical Data Analysis, or Clinical Research.

  • Experience supporting global clinical trials and regulatory submissions.

  • Strong experience with integrated analyses and cross-study data reporting.

Technical Skills

  • Advanced proficiency in SAS programming.

  • Experience with R programming is preferred.

  • Expert knowledge of CDISC standards (ADaM, SDTM).

  • Strong experience generating and validating TLFs.

  • Expertise in programming macros, data manipulation, and statistical analyses.

  • Understanding of clinical study protocols, SAPs, and drug development processes.

  • Knowledge of Oncology, Immunology, Neuroscience, or other therapeutic areas is preferred.