Research Fellow – Computational Scientist for Proteomics

at  University College London

ABOUT US

The UCL Cancer Institute was established in 2007 and is the hub for cancer research at UCL. The Institute is located in the heart of London, and part of UCL (University College London). UCL is consistently ranked within the top 20 global universities. The Cancer Institute is part of the Faculty of Medical Sciences, within the School of Life and Medical Sciences. This School comprises the largest concentration of biomedical researchers in Europe. The Cancer Institute hosts most of the cancer research at UCL, whilst other cancer activities across the UCL campus form part of a recently established Cancer Domain. The overall remit of the Institute is to develop a cancer presence and excellence, which rival other major national and international hubs for cancer research.
The Cancer Institute operates a Bioinformatics Hub that brings together bioinformaticians and computational biologists at the institute. It provides a base for bioinformaticians from the Bioinformatics Translational Technology Platform (TTP), the Single Cell Genomics Core, and the Proteomics Research TTP. The Bioinformatics Hub would like to strengthen its expertise in computational analysis of proteomics data and their integration in multi-omics projects.
The Proteomics Research Translational Technology Platform (PRTPP) is located within the Cancer Institute and is funded through the Cancer Research UK (CRUK) City of London (CoL) Centre. It provides basic and clinical researchers at the Cancer Institute and the CoL Centre with state-of-the-art proteomics capabilities. The current instrumentation includes an Orbitrap Exploris 480, a Q-Exactive Plus, both coupled to EASY nano UHPLCs and an offline Ultimate 3000 series UHPLC system. The PRTTP is managed by its Head, the Team Lead in Proteomics at the Cancer Institute, Dr Silvia Surinova, and is closely connected to PhD students and scientists carrying out proteomics research.
Further Information about the UCL Cancer Institute and the CRUK City of London Centre can be found at www.ucl.ac.uk/cancer/ and www.colcc.ac.uk/.

ABOUT THE ROLE

We aim to employ a highly motivated Research Fellow to carry out and further develop computational analysis of multi-omics data with a focus on proteomics and phosphoproteomics. The candidate will have a PhD in computational biology or a related discipline and a strong background in biostatistics and quantitative analysis of omics data. In particular, the candidate should have good understanding, and ideally demonstrated experience, in processing and computational analysis of mass spectrometry datasets.
The post holder will be responsible for implementing computational approaches for quantitative processing of mass spectrometry data, the characterisation of the regulatory phosphoproteome, and data integration with other multi-omics approaches. The post-holder will work in close contact with other members of the Bioinformatics Support Hub at the Cancer Institute and will manage a variety of high-paced, collaborative projects. They will be involved in optimal experimental design, data collection, management, processing, analysis, and storage. Importantly, the post holder will be expected to collaborate with researchers from project design to the interpretation of experimental results.
The successful candidate will be line managed by the Team Lead in Proteomics and integrated in the Bioinformatic Support Hub that will provide substantial computational training and support as required.
Your application 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.)
The post is initially funded until 31st March 2027.
Informal enquiries can be directed to Silvia Surinova (s.surinova@ucl.ac.uk).

As well as the exciting opportunities this role presents we also offer some great benefits some of which are below:

• 41 Days holiday (including 27 days annual leave 8 bank holiday and 6 closure days)
• Defined benefit career average revalued earnings pension scheme (CARE)
• Cycle to work scheme and season ticket loan
• On-Site nursery
• On-site gym
• Enhanced maternity, paternity and adoption pay
• Employee assistance programme: Staff Support Service
• Discounted medical insuranc