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R 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: Environment, Experiments Design, Health And Safety (Ehs), Laboratory Equipment, Manufacturing Process, Materials Science, Process Simulation, Sop (Standard Operating Procedure), Technical Writing, Wat, GCP guidelines, gmp knowledge, HSE Knowledge , Logistics and Transportation Management, Master Data, Operational Excellence, Sap Erp, supply chain management, Supply Planning, Warehouse Management, ICD-10 CM Codes, CPT-Codes, HCPCS Codes, ICD-10 CM, CPT, HCPCS Coding

R Statistical Programmer – Submission Experience Required

Location: India (Remote) / UK / Armenia / South Africa (Flexible Hiring Regions)
Work Mode: Remote
Department: Statistical Programming / Clinical Data Science

Job Overview

We are seeking an experienced R Statistical Programmer with strong clinical trial submission experience to support global regulatory submissions and clinical development programs. This role involves developing statistical programming solutions using R and other programming tools, generating submission-ready outputs, and ensuring compliance with regulatory and CDISC standards.

The position requires hands-on expertise in ADaM programming, clinical trial submissions, SDTM/ADaM datasets, and regulatory deliverables, along with strong leadership and cross-functional collaboration skills.

Key Responsibilities

Statistical Programming (R-Based Development)

  • Develop and maintain custom programming solutions using R and other statistical tools.

  • Generate:

    • Summary Tables

    • Data Listings

    • Graphs and Figures

    • Derived Analysis Datasets

  • Ensure all outputs align with Statistical Analysis Plans (SAPs) and programming specifications.

  • Ensure accuracy, consistency, and regulatory compliance of all deliverables.

Clinical Trial Submission Support

  • Support regulatory submissions with submission-ready datasets and outputs.

  • Ensure compliance with global submission requirements and industry standards.

  • Contribute to CDISC-compliant deliverables, including SDTM and ADaM datasets.

  • Perform compliance reviews for submission artifacts including DEFINE.XML and related documentation.

ADaM and SDTM Programming

  • Develop and validate ADaM datasets in compliance with CDISC standards.

  • Work with SDTM datasets for analysis and submission requirements.

  • Ensure consistency between SAP, datasets, and final outputs.

  • Support integrated understanding of analysis datasets for regulatory filings.

Validation and Quality Assurance

  • Perform independent validation programming and QC of outputs.

  • Identify and resolve discrepancies in datasets and statistical outputs.

  • Ensure inspection-ready documentation and validation records are maintained.

  • Follow SOPs, Work Instructions (WIs), and regulatory guidelines (e.g., ICH).

Project Execution and Delivery Management

  • Manage multiple programming deliverables across concurrent studies.

  • Ensure on-time delivery of all statistical programming outputs.

  • Develop risk mitigation plans for project delays or issues.

  • Communicate progress, risks, and issues proactively to management.

Study and Program Leadership

  • Act as lead statistical programmer on assigned studies or submissions.

  • Direct programming activities of junior programmers and monitor deliverables.

  • Review key study documents including:

    • SAPs (Statistical Analysis Plans)

    • Mock TLF shells

    • Programming specifications

    • Annotated CRFs

    • Database design documents

  • Provide feedback to improve programming efficiency and reduce rework.

Stakeholder Collaboration

  • Participate in sponsor meetings, kickoff meetings, and bid defenses.

  • Serve as statistical programming representative in client discussions.

  • Collaborate with biostatisticians, data managers, and regulatory teams.

  • Communicate effectively across global, cross-functional teams.

Mentorship and Training

  • Mentor junior statistical programmers and support capability development.

  • Develop training materials and conduct technical knowledge-sharing sessions.

  • Guide teams on CDISC standards and submission best practices.

  • Promote standardization and efficiency across programming processes.

Standards, Tools, and Innovation

  • Contribute to development of SOPs, programming standards, and guidelines.

  • Support creation of reusable macros and programming tools.

  • Provide expertise in CDISC standards (SDTM, ADaM).

  • Ensure compliance with regulatory and industry requirements.

Required Qualifications

Education

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

Experience Required

Fresher Eligible: No

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