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Stat Programmer Ii / Sr. Statistical Programmer (R / R Shiny)

Syneos Health
Syneos Health
5-6 years
Not Disclosed
Remote, India, India
1 May 8, 2026
Job Description
Job Type: Full Time Education: Bachelor’s Degree (BS) or Master’s Degree (MS) in: Life Sciences Pharmacy Biotechnology Biomedical Sciences Chemistry Regulatory Affairs Or related scientific disciplines 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, ICH guidelines

Stat Programmer II / Sr. Statistical Programmer (R / R Shiny)
Location: India (Remote)
Company: Syneos Health
Job ID: 25108057
Job Type: Full-Time
Industry: Biostatistics / Clinical Data Programming / Clinical Research / Healthcare Analytics


About the Company

Syneos Health is a globally recognized and fully integrated life sciences organization dedicated to accelerating customer success across clinical development, medical affairs, and commercialization. The company partners with pharmaceutical, biotechnology, and healthcare innovators to deliver advanced clinical research, technology, and data-driven healthcare solutions worldwide.

With over 25,000 professionals globally, Syneos Health combines scientific expertise, analytics, and innovation to help bring life-changing therapies to patients faster and more efficiently.


Job Overview

Syneos Health is hiring experienced professionals for the role of Stat Programmer II / Sr. Statistical Programmer (R / R Shiny). The selected candidate will work on clinical trial data programming, visualization development, and advanced analytics solutions using R programming technologies.

This role is ideal for professionals with strong expertise in R programming, R Shiny application development, data visualization, and clinical trial data analysis within pharmaceutical, CRO, or healthcare analytics environments.


Key Responsibilities

  • Develop and maintain statistical programming solutions using R programming language
  • Create interactive dashboards and data visualization applications using R Shiny
  • Perform clinical trial data analysis, transformation, and reporting activities
  • Utilize tidyverse packages for data wrangling and manipulation
  • Develop high-quality visualizations using ggplot2
  • Collaborate with cross-functional clinical and statistical teams for study deliverables
  • Manage and support multiple clinical studies simultaneously
  • Participate in code review, version control, and collaborative development workflows
  • Work with GitHub or GitLab repositories for source code management
  • Support study-level programming activities and reporting requirements
  • Maintain programming documentation and ensure quality compliance
  • Contribute to process improvements and analytical innovation initiatives

Required Qualifications

  • Bachelor’s or Master’s degree in:
    • Statistics
    • Biostatistics
    • Computer Science
    • Data Science
    • Life Sciences
    • Biotechnology
    • Mathematics
    • Or related disciplines
  • Strong understanding of clinical trial data and statistical programming workflows
  • Excellent communication and collaboration skills

Experience Requirements

  • Minimum 5+ years of hands-on experience in R programming within the clinical or healthcare domain
  • Strong expertise in:
    • R programming
    • R Shiny development
    • Clinical trial data analysis
    • Data visualization
  • Study lead experience and the ability to manage multiple studies will be highly preferred
  • Freshers are not eligible for this role

Required Technical Skills

  • Advanced R programming
  • R Shiny application development
  • tidyverse for data wrangling
  • ggplot2 for visualization and reporting
  • Clinical trial data handling and analysis
  • GitHub or GitLab version control workflows
  • Code review, branching, merge requests, push/pull operations