CG-TIC Computational Biologist/Data Scientist (Fixed Term)

The University of Cambridge is seeking a highly motivated, organised and initiative-focused computational biologist to join a team of clinical, immunological and computational researchers within CG-TIC. The role will facilitate cutting-edge scientific studies by providing expertise in biostatistics and informatics, guiding clinical investigators in research methods and contributing to the work of a team of data scientists.

Who you'll be working with
The role is based in the Department of Medicine, working with clinical and scientific researchers from CG-TIC who are based primarily in the Cambridge Institute of Therapeutic Immunology & Infectious Disease (CITIID) and the Victor Phillip Dahdaleh Heart & Lung Research Institute (HLRI). CG-TIC also incorporates clinician researchers from the nearby Addenbrooke's and Royal Papworth Hospitals, and our partners at GSK. You will be part of a growing team of CG-TIC computational biologists and data scientists, collaborating with colleagues across CG-TIC in processing and analysing complex and varied datasets. You will work under the guidance of Prof. Eoin McKinney, Professor of Clinical Autoimmunity, who, in addition to leading one of the CG-TIC research projects, oversees data analytical approaches within CG-TIC.

What you'll be working on
The collaboration will generate and have access to clinical and immunological data as well as many large data sets, including spectral immune phenotyping, proteomics and single cell sequencing data (both spatial and droplet) and Electronic Healthcare Record data. As well as data analysis, you will be able to present your results to others in the collaboration and at conferences. You will be working with a wide range of stakeholders, and will require attention to detail, good organisational skills and an ability to quickly understand and identify emerging research questions.

Experience required for the role
- Experience in Computational Biology, Biostatistics, Statistics, Bioinformatics or a related field, with an associated Masters, or ideally PhD, qualification.
- Experience of processing and analysing large biological datasets.
- Expertise in programming using at least one of R or Python.
- Experience in single cell data analyses and integrative multi-omics approaches is strongly desired.
- A background in immunology and experience working with clinical trial data would be very useful.
- Excellent organisational skills: able to function independently, but with a strong collaborative mindset.
- Excellent oral and written skills with the ability to communicate technical information to both specialist and non-specialist audiences, in person and remotely.
- Skilled in descriptive analysis, data modelling and graphic interfaces.
- Demonstrated expertise in analytical and statistical tools.

We support flexible and family-friendly working and are open to non-standard working patterns. While this is advertised as a full-time role, we would consider applications from candidates who are looking to work less than full-time hours and are open to applicants who live outside Cambridge but are willing to travel to Cambridge when required.

Fixed Term: The funds for this position are available for two years in the first instance, with expectation of funding for five years.

Closing date:20th August 2025

Interview date:To be confirmed

The University actively supports equality, diversity and inclusion and encourages applications from all sections of society.

The University has a responsibility to ensure that all employees are eligible to live and work in the UK.