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Senior Statistical Programmer

Job in 110006, Delhi, Delhi, India
Listing for: Simelabs - Digital, AI/ML, Automation, Robotics, Gen AI.
Full Time position
Listed on 2026-02-26
Job specializations:
  • IT/Tech
    Data Analyst, Data Security, Data Scientist, Data Science Manager
Job Description & How to Apply Below
Key Responsibilities
Develop, validate, and maintain  ADaM datasets ,  TLFs , and other analytical outputs for clinical trials.
Support  Oncology studies  by ensuring accuracy, consistency, and regulatory compliance in all programming deliverables.
Contribute to  ISS/ISE activities , including dataset integration, analysis, and documentation.
Work closely with statisticians, data managers, and clinical teams to ensure timely and quality delivery.
Assist in  regulatory submissions  and  RTQs , providing clear, traceable, and compliant programming outputs.
Collaborate in an  agile environment , participating in sprint meetings, planning, and continuous improvement discussions.
Work with internal tools and platforms, including  GSK-specific tools , following established standards and governance.
Troubleshoot data/programming issues and propose process enhancements.
Ensure adherence to CDISC standards, good programming practices, and audit-ready documentation.
Required

Skills & Qualifications
5-14 years of Industrial experience
Proficiency in R programming
(Intermediate candidates with strong learning intent and ability to upskill quickly will also be considered.)
Solid experience in  SAS programming , especially in a clinical/biostatistics environment.
Hands-on expertise in  ADaM dataset development  and  TLF programming .
Good understanding of  CDISC standards  and clinical trial data flow.
Strong problem-solving skills, attention to detail, and ability to work in cross-functional teams.

Preferred Qualifications
Advanced or Expert-level R Programming  skills.
Experience working on  Oncology therapeutic area  studies.
Exposure to  ISS/ISE , submission workflows, and regulatory interactions (e.g., RTQs).
Practical understanding of  agile ways of working  (Scrum/Kanban).
Prior experience using or supporting  GSK tools and platforms .
Why Join Us?
Opportunity to work on impactful  Oncology research  with global teams
Continuous learning and upskilling environment
Collaborative, agile work culture
Exposure to end-to-end statistical programming lifecycle and regulatory submissions
Position Requirements
10+ Years work experience
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