Research Fellow in Computational Systems Biology Cancer Research

University of Sussex
Brighton, East Sussex (GB)
£33,797 to £40,322 per annum
November 04 2020
Organization Type

Research Fellow in Computational Systems Biology Cancer

ResearchSchool/department: Brighton and Sussex Medical School

Hours: full time or part time hours considered up to a maximum of 1 FTE.

Requests for flexible working options will be considered (subject to business need).

Contract: fixed term for 4 years

Reference: 4889

Salary: starting at £33,797 to £40,322 per annum, pro rata if part time.

Placed on: 30 October 2020

Closing date: 2 December 2020. Applications must be received by midnight of the closing date.

Expected start date: 1 January 2021


• Join a ground-breaking project as part of a UKRI Future Leaders Fellowship.

• Tackle cancer with code and equations.

• Work towards the future of personalised medicine.

• Benefit from strong experimental and clinical collaborations.


An exciting post-doctoral research opportunity is available at Brighton and Sussex Medical School; a joint venture between the University of Sussex and University of Brighton.

The project is part of a prestigious UKRI Future Leaders Fellowship project and is supervised by Dr Simon Mitchell, a systems biologist, and Prof Chris Pepper, a cancer cell biologist. Both Simon and Chris’ groups form part of the vibrant interdisciplinary Haematology Research Group. The initial appointment is for 4 years, and there may be an option to extend for a further 3 years, contingent on funding and the demonstration of satisfactory progress.

The project will use systems biology approaches to understand B-cell lymphomas. These are relatively common cancers, occurring when mutations cause a loss of regulation of molecular signalling pathways. While lots is known about the mutational landscape of B-cell lymphomas, there is still a significant knowledge gap in our understanding of how mutation-driven dysregulation of molecular signalling pathways modifies cancerous cell fates. This project is designed to address this gap with the ultimate aim of identifying druggable molecular targets tailored for individual subsets of patients.

We recently published computational simulations consisting of systems of differential equations, solved using computational algorithms, with populations of individual cells being simulated using highly parallel processing. Excitingly, our recent data suggests that if we recreate the molecular dysregulation, caused by mutations found in B-cell lymphomas, we can accurately simulate the disease. We now want to use and develop these models to improve treatments for B-cell lymphoma.

The successful candidate will:

· Combine experimental and clinical data to create accurate simulations of the disease.

· Use simulations to perform virtual treatments and find novel drug targets to overcome treatment resistance.


The research will take place in a vibrant and collaborative research environment at BSMS and the successful applicant will benefit from opportunities for national and international collaboration and conference participation. In addition, a wealth of scientific and computing resources are available to support the work, as well as the experience and expertise of the supervisory team.

The successfully candidate will work in the beautiful and diverse seaside city of Brighton and Hove, 1 hour from London by train, and some work may be performed remotely initially due to COVID-19-related restrictions.

Please contact Dr Simon Mitchell, for informal enquiries.


The University is committed to equality and valuing diversity, and applications are particularly welcomed from women and black and minority ethnic candidates, who are under-represented in academic posts in Science, Technology, Engineering, Medicine and Mathematics (STEMM) at Sussex.


For details and how to apply see our vacancies page