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Senior Statistical Programmer Fsp

10 April 17, 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

 

Senior Statistical Programmer FSP

Job ID: 329
Job Category: Statistical Programming - FSP
Job Schedule: Full Time
Posting Date: April 11, 2025


Locations:

  • Remote, London, London, WC2B 4HN, United Kingdom

  • Remote, Mecklenburg-Vorpommern, 23966, Germany

  • Remote, Abla, Andalucia, 04510, Spain

  • Remote, Ile-de-France, 75008, France


Position Overview:

Work embedded with a global pharmaceutical client through Cytel. This role offers autonomy, innovation, and remote flexibility across multiple countries. You'll contribute to clinical trial phases I–IV and lead programming activities using CDISC standards.

Responsibilities:

  • Perform data manipulation, analysis, and reporting using SAS

  • Generate and validate SDTM & ADaM datasets, TLFs

  • Handle production and QC/validation programming

  • Create ad-hoc reports and submission documents (define.xml, eCRTs)

  • Lead when necessary, communicate with internal/external teams

  • Apply expertise in efficacy analysis

  • Support submissions, ISS/ISE, and study documentation


Qualifications:

  • Bachelor’s (or higher) in Statistics, Computer Science, Mathematics, or related

  • 8+ years of SAS programming experience (6+ with Master's)

  • Proven experience in CDISC SDTM & ADaM implementation

  • Familiar with regulatory submissions and clinical trial lifecycle

  • Study lead experience preferred

  • Experience with oncology, respiratory, or immunology studies a plus

  • Strong QC/validation, reporting, and analytical skills

  • Comfortable working in global, cross-functional teams


Our Values:

  • Scientific rigor and data-driven innovation

  • Curiosity and discovery

  • Diversity, collaboration, and inclusivity

  • Intelligent solutions using cutting-edge technology