Instagram
youtube
Facebook

Senior Statistical Programmer

10+ years
Not Disclosed
10 May 28, 2025
Job Description
Job Type: Full Time 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

 

Job Title: Senior Statistical Programmer


Job Overview

The Senior Statistical Programmer Analyst I (SR SPA I) is an independent statistical programmer analyst responsible for supporting clinical reporting, production programming, and verification for client regulatory submissions and publications.


Key Responsibilities

  • Independently perform SAS programming and analysis for generation of analysis datasets, statistical analyses, listings, figures, and tables

  • Develop SAS application code independently

  • Validate SAS programs and deliverables independently

  • Perform migrations and verifications independently

  • Perform SDTM and ADaM mapping independently

  • Generate SDTM and ADaM deliverables

  • Generate all necessary output for statistical appendices related to CTR, ISS, and ISE

  • Generate data files and output for safety updates, publications, and meeting presentations

  • Interface with cross-functional client teams and DataCeutics team members

  • Act as an expert in areas such as Project Management, SCE, SDTM, ADaM, define.xml, SAS programming, deliverables process, Tables, Graphics, PK/PD, Registries, or other domains


Desirable Skills and Experience

  • Background in statistics and statistical analysis (desirable)

  • 10+ years of Pharmaceutical or CRO industry experience in clinical reporting and statistical programming

  • Strong competence in SAS/Base, SAS/Macro, and SAS/STAT programming

  • Working knowledge of CDISC, SDTM, and ADaM standards

  • Expert knowledge of SAS-based statistical programming

  • Proficiency in SAS programming across multiple platforms (Windows, UNIX, etc.) is desirable