Welcome Back

Google icon Sign in with Google
OR
I agree to abide by Pharmadaily Terms of Service and its Privacy Policy

Create Account

Google icon Sign up with Google
OR
By signing up, you agree to our Terms of Service and Privacy Policy
Instagram
youtube
Facebook

Title: Senior Manager, Statistical Programming

Sun Pharma
12+ years
Not Disclosed
Gurgaon, Gurugram, India
15 Sept. 10, 2026
Job Description
Job Type: Full Time, Hybrid, Remote Education: B.Sc./ M.Sc./ M.Pharm/ B.Pharm/ Life Sciences Skills: Analytical Characterization, Dissolution Testing, Experimental Design, GMP/cGMP Compliance, HPLC, HPLC Analysis, Pre-formulation Studies, Regulatory Filing Support, Root Cause Analysis (RCA), Technology Transfer, UPLC

Senior Manager, Statistical Programming

Job Details

  • Company: Sun Pharmaceutical Industries Ltd.

  • Business Unit: Global Clinical Development

  • Job Grade: G9

  • Location: Gurgaon – R&D

  • Work Model: Remote/Hybrid

  • Date Posted: September 5, 2026

  • Experience: 12+ years

  • Employment Type: Full-time

Role Overview

The Senior Manager, Statistical Programming will provide comprehensive statistical programming and people-management expertise to lead and support programming activities across clinical development projects.

The role requires independent execution of programming strategies and project standards supporting ongoing clinical studies, study reports, regulatory submissions, and ad hoc/post hoc analyses.

The Senior Manager will work closely with internal partnering functions, stakeholders, and external functional service providers to ensure timely, high-quality programming deliverables.

The position also contributes to departmental goals, SOPs, programming macros, SME initiatives, and technical guidance, particularly around CDISC standards.

Key Responsibilities

Statistical Programming Leadership

  • Lead statistical programming activities for a therapeutic area, compound, or indication across multiple studies and projects.

  • Oversee programming activities across different stages of clinical studies.

  • Ensure timely and high-quality programming deliverables.

  • Independently implement and execute programming strategies and project standards.

  • Support study reports, regulatory submissions, ad hoc analyses, and post hoc analyses.

  • Provide technical expertise and guidance for complex programming activities.

  • Ensure programming activities align with clinical development and project requirements.

SAS Programming

  • Develop and oversee SAS programs for clinical trial data processing.

  • Create and review SDTM datasets according to CDISC standards.

  • Create and review ADaM datasets according to CDISC standards.

  • Develop and review Tables, Listings, and Figures (TLFs).

  • Ensure programming outputs meet quality and specification requirements.

  • Apply advanced SAS programming skills in a clinical data environment.

  • Support programming activities throughout the clinical development lifecycle.

CDISC Standards

  • Develop CDISC-compliant SDTM mapping specifications.

  • Develop ADaM specifications.

  • Implement CDISC standards across clinical programming activities.

  • Apply relevant regulatory guidance and Therapeutic Area User Guides (TAUGs).

  • Provide technical guidance on CDISC implementation.

  • Support development and maintenance of CDISC programming standards.

  • Ensure clinical datasets and associated deliverables comply with applicable standards.

Programming Standards and Documentation

  • Develop and maintain programming documentation.

  • Follow established programming standards and processes.

  • Participate in establishing and maintaining statistical programming standards.

  • Contribute to development of standard SAS macros.

  • Support department-level SOP development and implementation.

  • Participate in training guideline development.

  • Contribute to SME topics and technical initiatives.

  • Provide technical guidance on programming standards and best practices.

Clinical Trial Documentation

  • Participate in Clinical Report Form (CRF) annotation activities.

  • Review Statistical Analysis Plans (SAPs).

  • Participate in TLF specification development.

  • Review TLF specifications and outputs.

  • Ensure programming deliverables are consistent with statistical and clinical requirements.

Regulatory Submission Support

  • Manage P21-related activities.

  • Handle eCRT package deliverables for regulatory submissions.

  • Support preparation and review of:

    • Annotated CRF (aCRF)

    • Define.xml

    • Clinical Study Data Reviewer's Guide (cSDRG)

    • Analysis Data Reviewer's Guide (ADRG)

    • Analysis Results Metadata (ARM)

  • Support regulatory submissions to:

    • FDA

    • EMA

    • PMDA

    • Other applicable regulatory agencies

  • Support global regulatory authority submissions.

  • Follow applicable regulatory guidance and submission standards, including:

    • SDTCG

    • DSC

    • eCTD

  • Collaborate with partnering functions to address health authority requests.

  • Support responses to regulatory questions related to clinical datasets and statistical programming.

Project Planning and Delivery

  • Understand the scope of work for assigned projects.

  • Plan programming deliverables and timelines with study teams, programming leads, and management.

  • Coordinate programming activities across multiple studies and projects.

  • Monitor delivery timelines and quality.

  • Identify risks to programming deliverables.

  • Escalate issues and implement appropriate solutions.

  • Ensure project deliverables are completed according to agreed standards and timelines.

  • Coordinate with external functional service providers as required.

People Management and Mentoring

  • Manage and mentor new hires and junior statistical programmers.

  • Provide technical guidance and coaching to team members.

  • Support employee development and knowledge sharing.

  • Promote a positive and collaborative working environment.

  • Monitor team deliverables and support effective workload management.

  • Encourage adherence to programming standards and best practices.

  • Build technical capability within the statistical programming team.

Cross-Functional Collaboration

  • Work closely with internal partnering functions.

  • Collaborate with clinical study teams and statistical functions.

  • Partner with regulatory and other functional stakeholders.

  • Coordinate with external functional service providers.

  • Participate in global interdisciplinary teams.

  • Maintain effective communication across functions and geographies.

  • Support resolution of cross-functional issues affecting programming deliverables.

Process Improvement and Innovation

  • Contribute to department goals and strategic initiatives.

  • Participate in SOP development and improvement.

  • Contribute to programming standards and training guidelines.

  • Develop and improve reusable programming macros.

  • Identify opportunities to improve programming efficiency and quality.

  • Participate in SME initiatives.

  • Promote innovative approaches to clinical programming and data challenges.

Technical Skills

  • Advanced SAS programming skills.

  • Strong experience with SAS in a clinical data environment.

  • Strong analytical and problem-solving skills.

  • Experience with SDTM and ADaM programming.

  • Experience developing and reviewing TLFs.

  • Strong understanding of CDISC standards.

  • Knowledge of TAUGs.

  • Experience with regulatory submission programming.

  • Experience with P21 and eCRT deliverables.

  • Working knowledge of R and/or Python is an advantage.

  • SAS certification is an advantage.

Clinical Development Knowledge

  • Excellent understanding of pharmaceutical clinical development.

  • Strong knowledge of statistical concepts and techniques.

  • Strong understanding of clinical trial principles.

  • Understanding of clinical data structures and standards.

  • Knowledge of clinical study reporting requirements.

  • Strong understanding of regulatory submissions.

  • Knowledge of NDA and ANDA submissions.

  • Understanding of regulatory agency expectations.

Regulatory and Submission Knowledge

Relevant knowledge includes:

  • FDA

  • EMA

  • PMDA

  • NDA

  • ANDA

  • eCTD

  • SDTCG

  • DSC

  • P21

  • eCRT

  • Define.xml

  • aCRF

  • cSDRG

  • ADRG

  • ARM

Required Qualification

  • Minimum Bachelor’s degree in:

    • Statistics

    • Computer Science

    • Mathematics

    • Engineering

    • Life Sciences

    • Related discipline

Required Experience

  • 12+ years of statistical programming experience.

  • Experience processing clinical trial data.

  • Experience in biotechnology, pharmaceutical, CRO, or healthcare industries.

  • Strong hands-on SAS programming experience.

  • Experience with CDISC standards.

  • Experience with regulatory submission programming.

  • Experience with clinical trial reporting.

  • Experience managing people and programming processes.

  • Experience working with global interdisciplinary teams.

Professional and Behavioral Competencies

  • Strong leadership skills.

  • Excellent organizational skills.

  • Strong interpersonal and communication skills.

  • Ability to work independently.

  • Ability to lead global interdisciplinary teams.

  • Positive and collaborative attitude.

  • Strong team-player mindset.

  • Growth mindset.

  • Strong ownership and accountability.

  • Initiative and motivation.

  • Innovative problem-solving capabilities.

  • Ability to manage multiple priorities and deadlines.

  • Ability to mentor and develop junior team members.

Key Functional Areas

  • Statistical Programming

  • SAS Programming

  • Clinical Data Programming

  • SDTM

  • ADaM

  • CDISC

  • TLF Programming

  • Clinical Trial Reporting

  • Regulatory Submission Programming

  • Regulatory Data Standards

  • Programming Standards

  • SAS Macros

  • Clinical Development

  • Data Analysis

  • Project Management

  • Technical Leadership

  • People Management

  • Team Development

  • Process Improvement

Key Deliverables

The Senior Manager may be responsible for delivering or overseeing:

  • SDTM datasets

  • ADaM datasets

  • Tables

  • Listings

  • Figures

  • SDTM mapping specifications

  • ADaM specifications

  • SAS programs

  • Standard SAS macros

  • CRF annotations

  • SAP reviews

  • TLF specifications

  • P21 deliverables

  • eCRT packages

  • aCRF

  • Define.xml

  • cSDRG

  • ADRG

  • ARM

  • Regulatory submission datasets

  • Study reports

  • Ad hoc analyses

  • Post hoc analyses

Leadership Scope

The Senior Manager position combines advanced technical expertise with people management, project leadership, regulatory submission support, and strategic programming oversight.

Compared with the Manager 1 position, this role places greater emphasis on:

  • Leadership of multiple studies/projects

  • People management

  • Mentoring and coaching

  • CDISC technical leadership

  • Programming standards

  • Cross-functional influence

  • Global collaboration

  • Complex regulatory submissions

  • Process improvement

  • Department-level contributions

Ideal Candidate Profile

The ideal candidate is a senior clinical statistical programming professional with 12+ years of pharmaceutical, biotechnology, CRO, or healthcare experience.

The candidate should possess strong hands-on SAS programming expertise combined with advanced knowledge of CDISC, SDTM, ADaM, TLFs, clinical trial data, and regulatory submissions.

The position is particularly suited to an experienced professional who can balance hands-on technical programming with people leadership, project oversight, regulatory submission responsibilities, mentoring, and development of programming standards.

Company Culture

Sun Pharma promotes continuous development, ownership, collaboration, innovation, teamwork, accountability, and professional growth. The company encourages employees to take charge of their careers while contributing to global clinical development objectives.

Role Expectations

The Senior Manager is expected to provide both technical and people leadership within statistical programming.

The successful candidate should be capable of independently managing complex clinical programming activities, guiding teams, supporting global regulatory submissions, mentoring programmers, establishing programming standards, and contributing to departmental strategy and process improvement.

The role requires strong technical judgment, leadership capability, regulatory knowledge, and the ability to deliver high-quality programming outputs within demanding clinical development timelines.

Disclaimer

This job description describes the general nature and level of work expected for the position. It is not intended to be a comprehensive list of all responsibilities, duties, or qualifications. Sun Pharma may modify responsibilities or assign comparable duties based on business requirements and the employee’s experience and background.