Research Fellow in Systems Biology Cancer Research Ref 4533
School/department: Brighton and Sussex Medical School
Hours: full time considered up to a maximum of 1 FTE. Requests for flexible working options will be considered (subject to business need).
Contract: fixed term for 2 years
Salary: starting at £33,797 to £40,322 per annum, pro rata
Placed on: 16 September 2020
Closing date: 16 October 2020. Applications must be received by midnight of the closing date.
- Tackle cancer with code and equations.
- Build and analyse mathematical models with clinical impact.
- 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 sponsored by Leukaemia UK 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, with expertise spanning computational biology, cell and structural biology, drug discovery and clinical oncology.
The project will use systems biology approaches to understand the clinical and molecular heterogeneity found in B-cell lymphomas. These are relatively common cancers, occurring when mutations cause a loss of regulation of molecular signalling pathways, which control cell survival, proliferation and differentiation. 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 knowledge gap with the ultimate aim of identifying druggable molecular targets tailored for individual subsets of patients.
We recently published computational, systems biology, simulations of how cell fates are altered by changes in molecular signalling networks. These simulations revealed new molecular interactions, and targets to control B-cells, that were validated in the lab. These models consist of systems of differential equations, solved using computational algorithms, with populations of individual cells being simulated using highly parallel processing. These simulations have single cell resolution and can accurately predict B-cell differentiation.
Exciting recent data suggest if we recreate molecular misregulation, 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 the wealth of experimental and clinical data available for B-cell lymphoma to create accurate simulations of the disease.
- Simulate the diverse mutations found in patients
- Use simulations to perform virtual
- Computationally identify promising new targets for therapy.
- Computationally identify biomarkers that can be used to get the right therapy to the right patient.
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.
Please contact Dr Simon Mitchell, S.A.Mitchell@bsms.ac.uk for informal enquiries.
How to apply
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