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

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.

Informal enquiries regarding this position are strongly encouraged. Please contact Prof Eoin McKinney (efm30@cam.ac.uk).

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

Please ensure that you upload a covering letter and CV in the Upload section of the online application. The covering letter should outline how you match the criteria for the post and why you are applying for this role. If you upload any additional documents which have not been requested, we will not be able to consider these as part of your application.

Please include details of your referees, including email address and phone number, one of which must be your most recent line manager.

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.

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