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Lead Statistical Programmer - Sponsor Dedicated

5+ years
Not Disclosed
10 Sept. 23, 2025
Job Description
Job Type: Full Time Remote Education: B.Sc/M.Sc/M.Pharma/B.Pharma/Life Sciences 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: Lead Statistical Programmer – Sponsor Dedicated
Location: Maidenhead (100% home-based in EMEA or office-based in home country)
Category: Clinical
Job ID: 253609


Job Overview

The Lead Statistical Programmer plays a central role in delivering complex clinical projects for a top global pharmaceutical sponsor. The role involves planning, executing, and overseeing all programming activities, liaising with cross-functional teams, mentoring junior programmers, and ensuring high-quality outputs aligned with regulatory and sponsor standards.


Key Responsibilities

Programming Oversight

  • Plan, execute, and oversee all statistical programming activities for assigned studies.

  • Manage resources, work within budget, meet timelines, and maintain high-quality deliverables.

  • Supervise SDTM, ADaM, and TLF development and perform senior-level review of outputs.

Cross-Functional Collaboration

  • Liaise with Clinical, Medical Writing, Safety, and Biometrics teams.

  • Coordinate additional programming support for publications, medical writing, and analyses.

  • Support and oversee regulatory submission activities, particularly in late-phase studies.

Quality & Process Management

  • Ensure efficient execution of programming tasks with proper tools and macros.

  • Prioritize quality while adhering to departmental standards and processes.

Mentorship & Training

  • Mentor less-experienced team members on SDTM, ADaM, and TFL best practices.

  • Promote adherence to programming standards and processes.


Required Qualifications & Experience

  • Degree in Mathematics, Life Sciences, Statistics, Computer Science, or equivalent experience in statistical programming within clinical trials.

  • Minimum 5 years of experience with complex clinical trials and corresponding datasets (safety and efficacy endpoints).

  • Previous lead experience preferred.

  • Expertise in base SAS, SAS macros, SAS/STAT, and debugging SAS programs.

  • Broad knowledge of CDISC standards (SDTM, ADaM), define.xml, Reviewer’s Guides, and submission requirements.

  • Fluent in English, both written and verbal.

  • Strong collaboration skills, autonomy, curiosity, and attention to detail.


Preferred Qualifications

  • Knowledge of end-to-end clinical trial processes and cross-functional team responsibilities (Biostatistics, Clinical Data Management).

  • Experience supporting regulatory submissions and publications.


Work Environment

  • Home-based or local office in EMEA.

  • Collaborative, global CRO setting with opportunities for career growth.