Interested in cancer pathology and research at the clinical interface? We are recruiting a motivated Senior Scientific Associate. The Ali lab investigates how the intersection between genetic clonal diversity, cell phenotype and the tumour microenvironment drives cancer progression. We use single cell proteomic technologies (imaging mass cytometry in tissues) in combination with high resolution genomic data and quantitative analysis to understand tumours as complex, dynamic heterocellular ecosystems.
The successful candidate will be responsible for running and supervising experiments that involve an array of in-situ techniques including standard histochemical stains, microscopy, multiplexed immunofluorescence, in-situ hybridisation as well as imaging mass cytometry. You will work closely with computational biologists and core facilities to generate and analyse these high dimensional and interconnected datasets.
Candidates should have a Masters in Life sciences in a relevant discipline, and must have a solid cancer biology background with knowledge of cancer histopathology and microscopy. A PhD in a relevant discipline and experience with generating single cell data, CyTOF or imaging mass cytometry is desirable. You must be organised, meticulous and have a keen interest in developing computational data analysis skills. This is a rare opportunity to be at the leading edge of high dimensional single cell spatial analysis in cancer, and involves working as part of a diverse team including pathologists, cancer biologists and computational biologists.
For up to date information about the research group, please see our website at: https://www.cruk.cam.ac.uk/research-groups/Ali-group
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 basic disclosure (criminal records check) check and a security check.
Click the 'Apply' button below to register an account with our recruitment system (if you have not already) and apply online.
Please send applications in the following format: a CV, including full details of previous training and research experience to date; a publication record if available; a covering letter explaining why you want to join our team and what you will bring to the project.
Please include details of your referees, including e-mail address and phone number, one of which must be your most recent line manager.
Closing date: 26th October 2020
Please quote reference SW24203 on your application and in any correspondence about this vacancy.
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