Research Fellow in Computational Systems Biology Cancer Research Ref 4889

School/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
Expected start date: 1 Janaury 2021


Job description 

  • 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, S.A.Mitchell@bsms.ac.uk for informal enquiries.

Download job description and person specification Ref 4889 [PDF 205.59KB]


 

How to apply

Download our academic post application form [DOC 301.50KB] and personal details and equal opportunities form [DOC 162.50KB] and fill in all sections.

Email your completed application, and personal details and equal opportunities form, to bsmsrecruitment@sussex.ac.uk 

You should attach your application form and all documents to the email (don't use a web-based upload/weblink service) and use the format job reference number / job title / your name in the subject line.

You can also send your application by post to Human Resources Division, Sussex House, University of Sussex, Falmer, Brighton, BN1 9RH.

Download our terms and conditions summary for Research Faculty Terms and Conditions [DOC 36.00KB]


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