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Sr Statistical Programmer

Syneos Health
5-8 years
Not Disclosed
Remote, India, India
1 June 3, 2026
Job Description
Job Type: Full Time Education: B.Sc/M.Sc/M.Pharma/B.Pharma/Life Sciences Skills: 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

Senior Statistical Programmer

Location: India (Remote)
Work Mode: Remote
Department: Statistical Programming / Clinical Data Science

Job Overview

We are seeking an experienced Senior Statistical Programmer to support clinical trial programming activities across global drug development programs. This role is responsible for generating high-quality statistical outputs, developing analysis datasets, ensuring compliance with regulatory standards, and supporting end-to-end clinical reporting needs.

The position requires strong expertise in SAS programming, SDTM/ADaM datasets, TLF development, and clinical analysis support, along with proven leadership in managing study deliverables and cross-functional collaboration.

Key Responsibilities

Statistical Programming and Development

  • Develop SAS programs to generate:

    • Summary Tables

    • Data Listings

    • Graphs and Figures

    • Derived Analysis Datasets

  • Translate Statistical Analysis Plans (SAPs) and programming specifications into validated outputs.

  • Ensure programming deliverables meet study requirements, sponsor expectations, and quality standards.

ADaM, SDTM and Clinical Data Outputs

  • Support development and validation of ADaM datasets aligned with CDISC standards.

  • Work with SDTM datasets for analysis and reporting needs.

  • Develop and validate Tables, Listings, and Figures (TLFs) for clinical studies.

  • Ensure consistency between analysis datasets, SAPs, and final outputs.

Validation and Quality Control

  • Perform validation programming and independent quality checks.

  • Identify and resolve discrepancies in datasets and outputs.

  • Maintain inspection-ready documentation, test scripts, and QC records.

  • Ensure adherence to SOPs, Work Instructions (WIs), and regulatory guidelines (e.g., ICH).

Study Execution and Project Management

  • Manage multiple studies and programming deliverables simultaneously.

  • Adapt to changing priorities, timelines, and project requirements.

  • Develop dataset and output specifications as per sponsor requirements.

  • Ensure accurate definition of variables and minimize rework through proactive planning.

Collaboration and Communication

  • Collaborate with statisticians, data managers, and cross-functional teams.

  • Provide regular updates on programming progress, risks, and issues.

  • Participate in internal meetings, ensuring effective communication and documentation.

  • Prepare and distribute meeting notes and track action items to closure.

Technical Leadership

  • Act as lead statistical programmer on assigned studies.

  • Direct programming activities of junior and peer programmers.

  • Review key study documents including:

    • SAPs (Statistical Analysis Plans)

    • Mock TLF shells

    • Programming specifications

    • Annotated CRFs

    • SAS database design documents

  • Provide constructive feedback to improve programming efficiency and quality.

Client and Sponsor Engagement

  • Participate in sponsor meetings, study kick-off meetings, and bid defense discussions.

  • Represent statistical programming function in client-facing interactions.

  • Ensure deliverables align with sponsor expectations and timelines.

Mentoring and Training

  • Mentor junior programmers and support capability development.

  • Develop and deliver training materials and technical guidance.

  • Promote best practices in statistical programming and CDISC implementation.

Required Qualifications

Education

  • Bachelor’s or Master’s degree in Statistics, Computer Science, Mathematics, Life Sciences, Pharmacy, or related field.

Experience Required

Fresher Eligible: No

Required Experience: Minimum 5–8+ years of experience in Clinical SAS Programming.