The main responsibilities of the role will include:

• Build and refine predictive models for precision medicine diagnostics using AI and ML approaches.

• Analyse genetic, phenotypic and multi-omic datasets using precision medicine platform, PatientSeek.

• Develop new analytical features for the PatientSeek precision medicine platform.

• Coordinate with other researchers and external collaborators to ensure the projects progress smoothly and efficiently.

• Communicate results to the wider organisation.

• Ensure record keeping and archiving of data is up to date and accurate.

• Ensure external data privacy policies are adhered to.

• Support business development activities when required.

• Support reputational building with publications and poster and oral presentations at conferences.

• Support appropriate protection of genetic and biological intellectual property.

• Ph.D. (or M.Sc. + relevant experience) in data science, biostatistics, bioinformatics or equivalent experience.

• Experience working with large biological datasets (omics, EHR, RWE, clinical phenotypes)

• Experience working with Machine Learning / Artificial Intelligence methods.

• Knowledge and understanding of data privacy issues and requirements.

• Experience with IT tools (e.g., cloud computing, AWS, Linux, HPC), programming languages (e.g., R, Python, SQL, bash), and version control management (e.g., git).

• Highly self-motivated, flexible and organized.

• The ability to work independently but know when additional input is required.

• Excellent communication and presentation skills.

• Creative thinking and enthusiasm for innovation.

• Knowledge and understanding of Bayesian statistical methods.

• Experience modelling diverse datasets (ideally biological / clinical)

• Experience working with longitudinal biological or clinical data.

• Experience of working in a multi-disciplinary team in a biotech or pharma setting

• Experience in project management

• Knowledge of immuno-inflammatory diseases (e.g., rheumatoid arthritis, IBD)