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Manager 2, Statistical Programming

Sun Pharma
4+ years
Not Disclosed
Gurgaon, Gurugram, India
10 May 21, 2026
Job Description
Job Type: Full Time Hybrid 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

Manager 2 – Statistical Programming

Global Clinical Development

Location: Gurgaon (Remote / Hybrid)
Company: Sun Pharmaceutical Industries Ltd
Business Unit: Global Clinical Development
Job Grade: G11A


Role Overview

The Manager 2 – Statistical Programming is responsible for leading end-to-end clinical trial programming activities across Phase I–IV studies, ensuring high-quality deliverables for regulatory submissions and clinical study reporting.

This role sits at the intersection of:

  • Clinical data programming

  • Regulatory submission support

  • CDISC standards implementation

  • Cross-functional clinical development execution


Key Responsibilities

1. Study Programming Leadership

  • Lead statistical programming for one or more therapeutic areas, compounds, or indications

  • Ensure timely and high-quality deliverables across multiple studies

  • Work independently while aligning with project strategy


2. Clinical Data Standards (CDISC)

  • Develop and maintain:

    • SDTM mapping specifications

    • ADaM specifications

  • Implement CDISC standards across clinical datasets

  • Ensure compliance with regulatory expectations


3. SAS Programming & Dataset Development

  • Develop SAS programs for:

    • SDTM datasets

    • ADaM datasets

    • Tables, Listings, Figures (TLFs)

  • Ensure accuracy, reproducibility, and validation of outputs

  • Support clinical study reporting and submissions


4. Regulatory Submission Support

  • Prepare and manage submission packages including:

    • eCTD components

    • define.xml

    • CSR-related datasets

  • Support regulatory filings for:

    • FDA

    • EMA

    • PMDA

  • Handle health authority queries and data requests


5. Documentation & Compliance

  • Maintain programming documentation following internal standards

  • Contribute to:

    • CRF annotation

    • SAP review

    • TLF specifications and reviews

  • Ensure compliance with regulatory guidance and submission standards


6. Submission Package Components

Responsible for assembling and validating:

  • aCRF (annotated CRF)

  • cSDRG (clinical study data review guide)

  • ADRG (analysis data review guide)

  • ARM (analysis results metadata)

  • define.xml


7. Standards Development & Innovation

  • Develop reusable SAS macros and utilities

  • Maintain programming standards and libraries

  • Contribute to process improvement and automation


8. Cross-Functional Collaboration

  • Work closely with:

    • Biostatistics

    • Clinical development

    • Data management

    • Regulatory teams

  • Align programming outputs with statistical analysis plans


9. Mentorship & Leadership

  • Mentor junior programmers and new hires

  • Provide technical guidance and review support

  • Act as subject matter expert (SME) within programming team


Required Skills

Programming Expertise

  • Strong SAS programming in clinical data environment (mandatory)

  • Knowledge of:

    • R (preferred)

    • Python (plus)


Clinical & Regulatory Knowledge

  • Clinical trial lifecycle (Phase I–IV)

  • CDISC standards (SDTM, ADaM)

  • Regulatory submissions:

    • NDA

    • ANDA

    • eCTD


Technical Strengths

  • Data handling and transformation

  • Statistical output programming (TLFs)

  • CDISC implementation and validation

  • Clinical dataset integrity management


Behavioral Competencies

  • Strong analytical and problem-solving skills

  • Attention to detail and data accuracy

  • Ability to work independently and in global teams

  • Strong communication and coordination skills

  • Ownership and accountability

  • Adaptability in fast-paced environments

  • Mentorship mindset


Education & Experience

  • Bachelor’s degree in:

    • Statistics

    • Computer Science

    • Mathematics

    • Engineering

    • Life Sciences or related field

  • Experience:

    • 4+ years in clinical trial programming

    • Pharmaceutical / CRO / biotech experience preferred


Role Summary (Simple View)

This role focuses on:

  • Writing SAS programs for clinical trials

  • Preparing regulatory submission datasets

  • Implementing CDISC standards

  • Supporting global drug approvals

  • Leading programming teams and mentoring juniors


How it differs from Biostatistics role

  • Statistical Programming: builds datasets, SAS code, submission packages

  • Biostatistics: designs studies, defines statistical methods, interprets results

They work closely but are distinct:

  • Programming = execution & data structure

  • Biostatistics = study design & statistical interpretation