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 .

Informal enquiries can be directed to Silvia Surinova ().

About you

Successful candidates must have a degree in Computational Biology or a relevant discipline and a PhD in Computational Biology, Bioinformatics, or a relevant discipline.

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 (salary £38,- £41, per annum) with payment at Grade 7 being backdated to the date of final submission and award of the PhD thesis.

Knowledge of machine learning algorithms and Bioconductor packages and evidence of excellent teamwork capabilities, in particular ability to interact positively and professionally with staff and collaborators are also essential.

Relevant post-doctoral research experience and the ability to supervise research staff and students are desirable not essential.

What we offer

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 insurance