Instagram
youtube
Facebook

Senior Statistical Programmer Fsp

8+ years
Not Disclosed
10 April 17, 2025
Job Description
Job Type: Full Time Remote Education: B.Sc./M.Sc/B.Pharm/M.Pharm/Life Science Skills: Causality Assessment, Clinical SAS Programming, Communication Skills, CPC Certified, GCP guidelines, 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, Medical Billing, Medical Coding, Medical Terminology, Narrative Writing, Research & Development, Technical Skill, Triage of ICSRs, WHO DD Coding

 

Senior Statistical Programmer – FSP
Location: Remote – Pune, Maharashtra, 411038, IN
Job Type: Full-Time
Department: Statistical Programming – FSP
Job ID: 640
Posting Date: April 10, 2025


Position Overview

In this sponsor-dedicated role, you will work fully embedded within a global pharmaceutical client, playing a key part in clinical innovation and patient-centered outcomes. As a Senior Statistical Programmer, you'll lead or support programming activities for one or more Phase I-IV trials, particularly focusing on SAS programming and CDISC standards like ADaM and SDTM. The position offers a fully remote work option within India.


Key Responsibilities

  • Perform data manipulation, analysis, and reporting using SAS for both safety and efficacy data.

  • Generate and validate SDTM and ADaM datasets, as well as tables, listings, and figures (TLFs).

  • Conduct QC and validation programming, including complex ad-hoc reports.

  • Contribute to pooled data analysis and project-level data integration.

  • Support regulatory submissions, including creation and review of define.xml and other eCRT documents.

  • Act as study lead programmer on multiple projects as needed.

  • Collaborate effectively across internal and client-facing teams to ensure delivery excellence.

  • Adapt quickly to changing priorities, displaying a flexible and problem-solving mindset.


Required Qualifications

  • Bachelor’s degree in Statistics, Computer Science, Mathematics, or related field.

  • 8+ years of SAS programming experience with clinical trial data (or 6+ years with a Master’s degree).

  • Demonstrated study lead experience; ability to manage multiple projects preferred.

  • Strong knowledge of CDISC ADaM and efficacy analysis.

  • Submissions experience including define.xml and related documents.

  • Familiarity with clinical drug development lifecycle.

  • Excellent QC/validation, troubleshooting, and ad-hoc reporting skills.

  • Strong communication and teamwork in globally dispersed environments.


Preferred Qualifications

  • Experience in immunology or neuroscience therapeutic areas.

  • Exposure to the submission process and regulatory interactions.