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# Senior Data Scientist - Biostatistics

- **Company:** developrec
- **Location:** London, UK
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Automation of Tests, Cloud Computing, Continuous Integration, Information Engineering, R (Programming Language), Software Engineering, Git, Software Version Control, Databricks
- **Published:** July 27, 2026
- **Apply:** https://www.apply4u.co.uk/jobs/x/42129837/

## About the Role

EssentialStrong statistical background, ideally within BiostatisticsAdvanced R programming skills, including package developmentExperience with Git and collaborative development workflowsKnowledge of CI/CD pipelines, automated testing, and software engineering best practicesStrong understanding of reproducible research and statistical modelling standardsExcellent communication and stakeholder management skills
DesirableExperience designing and scaling R-based modelling platformsExposure to deploying analytical models into production environmentsExperience with Databricks or similar cloud data platformsAPI development or integration experience
Why Apply?This is an opportunity to work on high-impact projects within the life sciences sector, helping organisations bridge the gap between advanced statistical science and modern cloud-based engineering. You'll join a collaborative environment where technical excellence, innovation, and professional growth are highly valued.

## Description

Senior Data Scientist (Biostatistics)London, UK (Hybrid - 2-3 days per week)Up to £80,000 + Benefits
The Opportunity
We are seeking a Senior Data Scientist with a strong background in Biostatistics to help leading life sciences and pharmaceutical organisations modernise and scale their statistical modelling capabilities.
This role combines statistical expertise with modern data engineering practices, enabling the development of robust, reproducible, and production-ready analytical solutions. You'll work closely with biostatisticians, data scientists, and technical stakeholders to improve modelling approaches and deploy scalable solutions within cloud-based environments.
Key ResponsibilitiesPartner with biostatisticians and cross-functional teams to enhance statistical modelling methodologiesDesign and develop scalable R-based modelling workflows and packagesImplement best practices for testing, documentation, version control, and CI/CDSupport the deployment of statistical models into production environmentsEnsure analytical solutions are reproducible, maintainable, and performantProvide technical guidance and mentoring on statistical and engineering best practicesTranslate complex statistical concepts into practical business and technical solutions


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