At a Glance
- Tasks: Enhance statistical modelling and develop scalable R-based workflows for life sciences.
- Company: Leading life sciences organisation focused on innovation and collaboration.
- Benefits: Up to £80,000 salary, hybrid work, and professional development opportunities.
- Other info: Join a dynamic team that values technical excellence and career growth.
- Why this job: Make a real impact in the life sciences sector with cutting-edge statistical solutions.
- Qualifications: Strong background in Biostatistics and advanced R programming skills required.
The predicted salary is between 60000 - 80000 £ per year.
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 Responsibilities
- Partner with biostatisticians and cross-functional teams to enhance statistical modelling methodologies
- Design and develop scalable R-based modelling workflows and packages
- Implement best practices for testing, documentation, version control, and CI/CD
- Support the deployment of statistical models into production environments
- Ensure analytical solutions are reproducible, maintainable, and performant
- Provide technical guidance and mentoring on statistical and engineering best practices
- Translate complex statistical concepts into practical business and technical solutions
Skills & Experience
Essential
- Strong statistical background, ideally within Biostatistics
- Advanced R programming skills, including package development
- Experience with Git and collaborative development workflows
- Knowledge of CI/CD pipelines, automated testing, and software engineering best practices
- Strong understanding of reproducible research and statistical modelling standards
- Excellent communication and stakeholder management skills
Desirable
- Experience designing and scaling R-based modelling platforms
- Exposure to deploying analytical models into production environments
- Experience with Databricks or similar cloud data platforms
- API 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.
Senior Data Scientist - Biostatistics in London employer: develop
Join a forward-thinking company that champions innovation and collaboration in the life sciences sector. As a Senior Data Scientist in Biostatistics, you'll benefit from a hybrid work model in London, allowing for a balanced work-life dynamic while engaging in high-impact projects. With a strong emphasis on professional development, you'll have ample opportunities to enhance your skills and contribute to meaningful advancements in statistical modelling and cloud-based solutions.
