About the role
We are seeking a collaborative and self-motivated computational post-doctoral fellow to work on cancer metabolism and blood proteomic data in a vibrant and highly collegiate environment. The candidate will be expected to develop and make use of bioinformatics techniques to investigate how metabolic dysregulation can drive metastatic disease progression and drug resistance. The project will leverage existing genomic and transcriptomic sequencing data from multi-region matched primary and metastatic tumours from the TRACERx lung cancer evolution and PEACE research autopsy programmes and will be part of the collaborative and international CANCAN Cancer Grand Challenge Team. The candidate will also have the opportunity to work with plasma mass spectrometry metabolomics and proteomics data, as well as tumour microenvironment studies, to aid the metabolic study of tumours.
Prof. Mariam Jamal-Hanjani is Principal Investigator of the TRACERx study at UCL, and Chief Investigator of the PEACE study. The Jamal-Hanjani Lab is a multi-disciplinary group of passionate and determined individuals who will provide the successful candidate with a stimulating and conducive environment to participate and grow as a scientist. The research in the lab is conducted in close collaboration with local and international scientists and clinicians, especially across the TRACERx and PEACE consortia and the CRUK Lung Cancer Centre of Excellence. These collaborative environments will provide the successful candidate with opportunities to learn from a large network of talented professionals.
The position will be available for 2 years in the first instance.
Appointment at Grade 7 is dependent upon having been awarded a PhD ; if this is not the case, initial appointment will be at Research Assistant Grade 6B, with payment at Grade 7 being backdated to the date of final submission of the PhD thesis.
Applications should include a CV and a Cover Letter: In the Cover Letter please evidence the essential and desirable criteria in the Person Specification part of the Job Description. (By including a Cover Letter, you can leave blank the 'Why you have applied for this role' field in the application form, which is limited in the number of characters it will allow.)
About you
The successful applicant must have a PhD and a proven track record of publications, have previous experience with genomics data analysis, be fluent in at least one of the following programming languages: C++, Python or R, and will have strong skills in the field of genomics and desirably one or more of the following: tumour biology, cancer metabolism, proteomics, evolutionary biology, statistics and mathematics.
What we offer
As well as the exciting opportunities this role presents we also offer some great benefits some of which are below:
1. 41 Days holiday (including 27 days annual leave 8 bank holiday and 6 closure days)
2. Defined benefit career average revalued earnings pension scheme (CARE)
3. Cycle to work scheme and season ticket loan
4. On-Site nursery
5. On-site gym
6. Enhanced maternity, paternity and adoption pay
7. Employee assistance programme: Staff Support Service
8. Discounted medical insurance
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