Senior Statistical Programmer
Boulogne-Billancourt, Île-de-France, France
Working as a Senior Statistical Programmer in our Lausanne, Paris, or Cambridge UK office, you will use your advanced SAS programming expertise and in-depth knowledge of industry-wide standards to lead and support clinical studies across all phases of development.
Reporting to the Director of Biostatistics, you will work closely with a small group of Biostatistician-Programmers to lead and support key aspects of the programming effort, ensuring the successful delivery of data and reporting components for various projects.
Responsibilities include, but are not limited to, the following:
Advanced SAS Programming Expertise
- Proficient in Base SAS, SAS/Macro, SAS/SQL; experience with SAS/Graph is a plus
- Demonstrated ability to develop, maintain, and troubleshoot SAS macro libraries
Strong Knowledge of CDISC Standards
- Hands-on experience with the implementation of SDTM and ADaM datasets
- Experience in Define-XML creation and CDISC validation tools such as Pinnacle 21
Regulatory Reporting Experience
- Direct involvement in generating outputs for periodic regulatory submissions (e.g., DSURs, PSURs, Annual Safety Reports)
- Working knowledge of FDA and EMA submission requirements
Lead and Validation Programming
- Experience leading programming efforts for the creation and validation of SDTM and ADaM datasets and statistical outputs (tables, listings, figures)
- Ability to conduct and document independent validation of programming deliverables
Standardization of Outputs
- Proven track record in building and maintaining a suite of standardized, reusable outputs and templates to support multiple studies
Collaborative and Communication Skills
- Comfortable working cross-functionally with statisticians, data managers, and clinical teams
- Strong documentation practices and the ability to communicate technical concepts clearly
Quality and Compliance Focus
- Commitment to Good Programming Practices (GPP) and regulatory compliance
- Strong attention to detail and thorough understanding of QC processes in a clinical trial settin
Requirements
- Bachelor’s or master's degree in Statistics, Computer Science, Engineering, or a related field
- Minimum of 5 or more years of experience in clinical trial programming within the pharmaceutical, biotech, or CRO industry
- Advanced knowledge and experience in:
- SAS programming: experience in R is a major asset
- CDISC standards (e.g., CDASH, SDTM, ADaM) and industry best practices
- Technical and regulatory requirements related to the role
- Database set-up
- Clinical drug development
- Proficiency in English - conversational French would be a plus
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Biostatistics CDISC Computer Science Engineering Pharma R SAS SQL Statistics XML
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