Location: | Cambridge |
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Salary: | £36,024 to £44,263 pa |
Hours: | Full Time |
Contract Type: | Fixed-Term/Contract |
Placed On: | 30th April 2024 |
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Closes: | 19th May 2024 |
Job Ref: | PK41464 |
Join our team as a Computational Research Associate!
The McGovern lab is seeking a talented and motivated Computational Research Associate to join their research group. Our research aims to understand the role of mononuclear phagocytes in autoimmunity and placental development.
This is a grade G7 Research Associate post, dependant on previous skills and experience.
The McGovern Lab:
Our team focuses on characterising human mononuclear phagocytes, crucial immune cells distributed across all tissues in the body. These cells perform vital functions in tissue development and function, fighting infection and resolving inflammation. We utilise a range of technologies to develop our understanding of the ontogeny and function of these cells including proteomic, transcriptomic and epigenetic approaches. We utilise cells isolated from primary human tissue samples and organoid systems. As part of our team, you will contribute to groundbreaking research in understanding the properties of mononuclear phagocytes in both health and disease.
https://www.path.cam.ac.uk/research/immunology-division/mcgovern-group
About the role:
You will develop your own projects and support other projects in the lab. This will involve analysis of single cell and spatial transcriptomic data sets generated from human tissues to understand immune cells and their cross-talk with stromal cells in health and disease. You will be working with cell biologists across a range of expertise including immunology, virology, microbiology, and clinicians to adapt, improve, and integrate existing software, to best answer the scientific questions of the research programme. You will also be encouraged to develop novel computational tools to support this.
Your tasks:
Your profile:
Why join us?
Fixed-term: The funds for this post are available for 3 years in the first instance.
Once an offer of employment has been accepted, the successful candidate will be required to undergo a health assessment.
Applications are welcome from internal candidates who would like to apply for the role on the basis of a secondment from their current role in the University.
To apply online for this vacancy and to view further information about the role, please click the 'Apply' button above.
How to apply:
Please provide a statement of interest/cover letter, CV and 2 references.
The University actively supports equality, diversity and inclusion and encourages applications from all sections of society.
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