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Principal Stats Programmer

Fortrea
Fortrea
6+ years
Not Disclosed
Bangalore, India
10 Feb. 12, 2026
Job Description
Job Type: Full Time Education: B.Sc./ M.Sc./ M.Pharm/ B.Pharm/ Life Sciences Skills: Causality Assessment, Clinical SAS Programming, Communication Skills, CPC Certified, GCP guidelines, ICD-10 CM Codes, CPT-Codes, HCPCS Codes, ICD-10 CM, CPT, HCPCS Coding, ICH guidelines, ICSR Case Processing, Interpersonal Skill, Labelling Assessment, MedDRA Coding, Medical Billing, Medical Coding, Medical Terminology, Narrative Writing, Research & Development, Technical Skill, Triage of ICSRs, WHO DD Coding

Job Title: Principal Statistical Programmer (Lead SAS Programmer – CDISC, SDTM, ADaM)

Location: Bangalore / Pune / Mumbai / Remote – India
Job Type: Full-Time
Job ID: 26398
Posted: 10 Days Ago
Application Deadline: April 30, 2026

Job Category: Biostatistics / Statistical Programming / Clinical Data Science / Clinical Research


Job Overview

We are seeking an experienced Principal Statistical Programmer to serve as Lead Statistical Programmer on complex clinical research studies. This senior-level role is responsible for overseeing end-to-end statistical programming activities, ensuring high-quality CDISC-compliant deliverables, and leading cross-functional collaboration within global clinical trial environments.

The selected candidate will provide technical leadership in SAS programming, SDTM and ADaM dataset development, TFL generation, and regulatory submission support while mentoring junior programmers and contributing to business development initiatives.


Experience Required

  • Minimum 6+ years of SAS programming experience within the CRO or pharmaceutical industry

  • Proven experience as Lead Statistical Programmer on complex clinical studies

  • Strong expertise in CDISC standards, including SDTM, ADaM, Define.xml, and regulatory submission requirements


Key Responsibilities

  • Act as Lead Statistical Programmer across assigned clinical trials

  • Plan, execute, and oversee all programming activities, including resource estimation, budgeting, timeline management, and quality oversight

  • Develop and maintain SAS programs for:

    • SDTM datasets

    • ADaM datasets

    • Tables, Listings, and Figures (TFLs)

  • Perform quality control (QC) of SDTM, ADaM, and TFL outputs

  • Generate Define XML/PDF files, Analysis Results Metadata (ARM), annotated CRFs (aCRFs), and Reviewer’s Guides

  • Lead development of complex SDTM and ADaM specifications

  • Review Statistical Analysis Plans (SAPs) and TFL shells from a programming perspective

  • Advise on and support the development of complex TFL shells

  • Mentor and guide junior statistical programmers to ensure adherence to CDISC standards and departmental processes

  • Support QA inspections, client audits, and regulatory qualification audits

  • Participate in proposal development and bid defense meetings to support new business acquisition

  • Identify and implement process improvements to enhance programming efficiency and quality


Required Qualifications

  • Bachelor’s degree in Mathematics, Statistics, Computer Science, Life Sciences, Health Sciences, or a related discipline

  • Equivalent education and relevant professional experience may be considered

  • Strong English communication skills (spoken and written)

  • In-depth understanding of the full clinical trial lifecycle, from study start-up to submission

  • Excellent knowledge of cross-functional roles including Biostatistics and Clinical Data Management

  • Comprehensive knowledge of CDISC standards, including:

    • SDTM

    • ADaM

    • Define.xml

    • Reviewer’s Guides

    • Regulatory submission standards


Preferred Competencies

  • Strong leadership and mentoring capabilities

  • Experience contributing to client interactions and strategic project discussions

  • Ability to manage multiple studies simultaneously

  • Strong analytical and problem-solving skills

  • Process improvement mindset with a focus on quality and compliance


Work Environment

  • Office-based or home-based (remote) work environment within India, as per line manager direction

  • Collaborative engagement with global clinical research teams


Why Apply?

This is a senior-level statistical programming leadership opportunity within global clinical research. The role provides exposure to complex regulatory submissions, CDISC implementation, cross-functional collaboration, and strategic project oversight, making it ideal for experienced SAS programmers seeking advancement in biostatistics and clinical data science.