About the role

This post is designed for a computer scientist who will work closely with Prof Kwee Yong, Dr Eileen Boyle and Dr Lydia Lee in the multidisciplinary Myeloma Research laboratory. Working within the UCL Cancer Institute, the post holder will be analyzing short, long-read and single cell sequencing. and exploiting machine learning and deep learning in very a translational setting, to determine the drivers for progression, risk, treatment response and prognosis. The position entails combining data from multiple modalities, such as immune profiling, clinical variables tests, sequencing studies using novel machine learning methods to predict patient outcomes. A significant subset of these activities will be developing algorithms to analyse DNA sequencing data, CyTof and single cell RNA seq data.

This is a post within theUCL Myeloma Laboratory and the Myeloma Immunotherapy group in the Cancer Institute at UCL. Multiple myeloma (MM) is an incurable cancer of plasma cells that develops in the bone marrow, and affects older people. Disease progression to MM is accompanied by the progressive development of an immunosuppressive milieu that fosters immune escape and tumour growth.

Our work is focused on understanding how the bone marrow environment promotes the growth of myeloma tumour cells, impairs the anti-tumour immune response, can determine clinical responses to therapy and mediate relapse

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 £38,- £41, (salary per annum) 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.)

This full time role will be available for 18 months in the first instance.

About you

Successful candidates must have a BSc or equivalent in Immunology or Molecular biology or a related subject and a PhD (or be in the process of submitting a PhD) in Immunology or or Molecular biology or a related subject.

Ability to organise and prioritise work and to work safely and effectively with a minimum of supervision and ability to use and understand statistics to interpret data are essential.

Authorship of papers in relevant research areas, either published or under review and experience of presenting your own work at conferences are desirable but 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