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Programming Lead

Fortrea
Fortrea
5+ years
Not Disclosed
Bangalore, India
10 May 11, 2026
Job Description
Job Type: Full Time Education: B.Sc./ M.Sc./ M.Pharm/ B.Pharm/ Life Sciences Skills: ICH guidelines, ICSR Case Processing, Interpersonal Skill, Labelling Assessment, MedDRA Coding, Medical Billing, Medical Coding, Medical Terminology, mRS and EQ-5D-5L., Narrative Writing, Research & Development, Technical Skill, Triage of ICSRs, WHO DD Coding

Job Title

Programming Lead (Lead Statistical Programmer)

Company

Fortrea

Location

Bangalore, India

Employment Type

Full-time


Job Overview

This is a lead-level statistical programming role focused on managing end-to-end programming activities for clinical trials. You will oversee SAS programming deliverables, ensure high-quality statistical outputs, manage timelines and budgets, and guide junior programmers.


Key Responsibilities

1. Study-Level Programming Leadership

  • Act as Lead Statistical Programmer for clinical studies

  • Plan and manage all programming activities for assigned studies

  • Ensure delivery within:

    • Budget

    • Timelines

    • Quality standards


2. SAS Programming & Clinical Data Standards

  • Develop and maintain SAS programs for:

    • SDTM datasets

    • ADaM datasets

    • Tables, Listings, and Figures (TFLs)

  • Perform QC of SDTM, ADaM, and TFL outputs

  • Ensure compliance with CDISC standards


3. Regulatory & Submission Support

  • Create submission-ready deliverables:

    • Define XML / Define PDFs

    • Analysis Results Metadata (ARM)

    • Annotated Case Report Forms (aCRFs)

    • Review guides

  • Support regulatory submission requirements


4. Study Design & Specification Review

  • Develop SDTM and ADaM specifications

  • Review Statistical Analysis Plans (SAPs)

  • Review TFL shells from programming perspective


5. Leadership & Mentoring

  • Mentor junior statistical programmers

  • Share technical knowledge in team meetings

  • Provide guidance on CDISC implementation and programming best practices


6. Quality & Compliance

  • Respond to audits (QA and client audits)

  • Support inspection readiness

  • Identify process improvements to enhance quality and efficiency


7. Stakeholder Collaboration

  • Interact with clients and cross-functional teams

  • Coordinate with other departments (biostatistics, clinical, data management)

  • Present updates and technical insights


Required Qualifications

  • Bachelor’s degree in:

    • Mathematics

    • Statistics

    • Computer Science

    • Life Sciences

    • Health Sciences

    • Or related fields

  • Equivalent experience may also be considered


Required Experience

  • Minimum 5 years SAS programming experience

  • Experience in:

    • CRO (Clinical Research Organization) or pharmaceutical industry

    • Clinical trial data standards and submissions


Required Skills

Technical Skills

  • Strong SAS programming expertise

  • CDISC standards knowledge (SDTM, ADaM)

  • Clinical trial data analysis

  • Submission deliverables (Define.xml, TFLs, etc.)


Core Competencies

  • Leadership and team management

  • Strong analytical thinking

  • Attention to detail

  • Ability to manage multiple studies

  • Problem-solving in complex datasets


Soft Skills

  • Strong communication skills (English)

  • Mentoring ability

  • Client interaction skills

  • Time and project management


Work Environment

  • Office or remote/hybrid setup

  • Client-facing role

  • May involve travel (~5%) for meetings and trainings


Role Summary (Simple Explanation)

This is a senior-level clinical statistical programming leadership role where you will:

  • Lead SAS programming teams

  • Manage clinical trial datasets and submissions

  • Ensure compliance with CDISC standards

  • Handle regulatory reporting outputs

  • Mentor junior programmers

  • Interact with clients and auditors


Key Insight

  • This is a senior role (5+ years experience)

  • Higher level than Statistical Programmer or RBQM Programmer

  • Strong pathway into:

    • Statistical Programming Manager

    • Biostatistics leadership roles

    • Clinical Data Science leadership