Are you passionate about applying statistical modelling to solve complex real-world challenges?
We’re working with a growing consultancy that’s looking to appoint a Senior Data Scientist (Biostatistics) to support clients in advancing their statistical modelling capabilities. This is a unique opportunity to work at the intersection of biostatistics, software engineering and cloud technologies, helping organisations develop robust, scalable and production-ready statistical solutions.
You’ll collaborate with biostatisticians, statisticians and cross-functional teams to refine modelling approaches, improve reproducibility and deploy analytical workflows into modern cloud environments.
What you’ll be doing
- Designing and developing scalable R-based statistical modelling workflows.
- Working closely with biostatisticians to improve modelling approaches and methodologies.
- Developing reusable R packages and supporting robust statistical software development.
- Implementing best practices around testing, documentation, version control and CI/CD.
- Supporting the deployment of statistical models into production cloud environments.
- Providing technical guidance to help improve modelling and engineering standards.
- Collaborating with stakeholders to ensure statistical solutions are reproducible, maintainable and scalable.
What we’re looking for
We’re interested in speaking with experienced professionals who can demonstrate:
- A strong background in statistics, ideally within biostatistics.
- Experience using Git and collaborative development workflows.
- Knowledge of CI/CD pipelines, automated testing and software engineering best practices.
- Experience designing reproducible statistical modelling workflows.
- Exposure to Databricks or other cloud-based data platforms.
- Excellent communication skills with the ability to explain complex statistical concepts to a variety of stakeholders.
Experience deploying statistical models into production environments or working with APIs would be advantageous but isn’t essential.
Why apply?
- Work on technically challenging statistical modelling projects.
- Help bridge the gap between statistical science and modern software engineering.
- Collaborate with highly experienced biostatisticians and multidisciplinary teams.
- Work with modern cloud technologies and scalable analytics platforms.
- Join a collaborative consultancy that values technical excellence, innovation and continuous learning.
- Hybrid working and a competitive salary and benefits package.
#J-18808-Ljbffr…