Overview
As Senior Statistical Programmer, you will support Health Technology Assessment dossiers by producing robust analysis datasets, tables, listings, and figures. You will work closely with HTA biostatisticians and cross-functional teams to deliver high-quality, timely outputs that support patient access to medicines. You’ll lead programming activities, ensure compliance with SOPs, and contribute to strategic HTA initiatives. This role offers a chance to shape HTA analysis in a global, research-driven biopharma setting and impact patient care.
Pay / Benefits
- Hybrid work arrangements
- full-time, indefinite contract
- global and cross-functional collaboration
- growth opportunities in a research-driven environment
- values innovation, diversity and respect
- international presence
Responsibilities
- Programmatically develop, validate and maintain analysis and reporting deliverables for HTA dossiers
- Provide statistical programming project leadership and ensure proper project planning
- Ensure deliverables meet quality and SOP/compliance standards
- Collaborate with project team members and stakeholders
- Contribute to departmental strategic initiative teams
- Serve as point of contact for assigned projects and perform development/validation activities
Key requirements
- BS in a relevant field with 5–9 years in R and/or SAS programming, or MS with 3–7 years in R and/or SAS programming
- Significant expertise in R and SAS clinical trial programming, including data processing, statistical procedures, graphs and tables
- Working knowledge of statistics, data management concepts in drug/vaccine development
- Knowledge of CDISC SDTM and ADaM standards
- Experience developing HTA-related analysis and reporting deliverables for R&D projects
- Business fluency in English; strong independence and stakeholder collaboration skills
- Ability to learn new techniques quickly and understand statistical concepts
- Strategic thinking and ability to design databases for optimized analyses
- Team-oriented with cross-cultural collaboration experience
- Leadership and initiative
- Collaboration across cultures and geographies
- Strong communication and teamwork
- R programming
- SAS programming
- Clinical trial data processing
Sr. Scientist, Stat. Programming (m/f/d) in London employer: Merck Sharp & Dohme (MSD)
As a global healthcare leader, our company offers an inspiring work culture that prioritises ethical integrity and scientific excellence. Located in the vibrant city of London, the Associate Director role in External Discovery Chemistry provides exceptional opportunities for professional growth and collaboration with top-tier scientists across Europe. We are committed to fostering an inclusive environment where diverse ideas thrive, ensuring that every employee can contribute to meaningful advances in global healthcare.
