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Senior Statistical Programmer / Statistical Programming Lead

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Onsite

Senior Statistical Programmer / Statistical Programming Lead

Bwise Solutions

Senior Statistical Programmer / Statistical Programming Lead

Skills

R

2 months ago

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Important information


Contract type:

Permanent

Salary:

₹2,000,000 – ₹2,500,000 / year

Location:

Bengaluru, Karnataka, India

Work mode:

Onsite

Published on:

3 September 2026

What they need


Role & responsibilities

  • Perform statistical programming activities for clinical trials across various phases, with a strong focus on Oncology studies.
  • Develop, program, review, and validate Tables, Listings, and Figures (TLFs) using SAS and R.
  • Create and maintain SDTM and ADaM datasets in accordance with CDISC standards.
  • Perform programming for efficacy and safety analyses.
  • Work on Oncology-specific endpoints and analyses including:
  • Progression-Free Survival (PFS)
  • Overall Survival (OS)
  • Objective Response Rate (ORR)
  • Duration of Response (DOR)
  • Time-to-event / survival analyses
  • Kaplan-Meier analyses
  • Demonstrate hands-on programming experience in both SAS and R on live clinical studies.
  • Develop production-quality programs and perform programming checks, validation, and QC.
  • Support statistical programmers and biostatisticians in the development and review of analysis datasets and TLFs.
  • Work closely with Biostatistics, Clinical Data Management, Data Standards, Medical Writing, and other cross-functional teams.
  • Support preparation of statistical programming deliverables for Clinical Study Reports (CSR).
  • Contribute to regulatory submission-related programming and documentation for agencies such as FDA/EMA, where applicable.
  • Review specifications, programming requirements, analysis plans, and study documentation.
  • Troubleshoot programming issues and ensure timely delivery of high-quality study outputs.

Preferred candidate profile

  • 7+ years of relevant experience in Clinical Statistical Programming.
  • Strong hands-on expertise in SAS and R.
  • Strong experience in Oncology clinical trials.
  • Strong knowledge of CDISC standards SDTM and ADaM.
  • Hands-on experience in TLF programming.
  • Good understanding of clinical trial data and statistical analysis concepts.
  • Experience with efficacy and safety programming.
  • Knowledge of survival analysis / time-to-event analysis.
  • Experience with Oncology endpoints such as PFS, OS, ORR and DOR will be highly preferred.
  • Experience in validation/QC and regulatory submission programming is desirable.
  • Strong analytical, problem-solving, communication, and stakeholder-management skills.

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