Research Fellow

The 2007 opening of the Cancer Institute in the Paul O'Gorman Building heralded a new era in cancer research and medicine at UCL. The Institute is consolidating cancer research across the campus. In particular, it fosters links between basic cancer researchers across Biomedicine, and with the clinical activities of our partner Hospitals (University College London Hospitals including Queen Square, Great Ormond Street Hospital for Children and the Royal Free Hospital).

The centre is recognised as a Cancer Research UK Brain Tumour Centre of Excellence. For more information about the UCL Cancer Institute follow the link: https://www.ucl.ac.uk/cancer

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 the UCL Myeloma Laboratory and the Myeloma Immunotherapy group in the Cancer Institute at UCL. Multiple myeloma (MM) is an incurable cancer of p lasma 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 £38,357- £41,005 (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 c an 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.

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.

For rewards and benefits at UCL please visit:
https://www.ucl.ac.uk/work-at-ucl/reward-and-benefits.

You can read more about our commitment to Equality, Diversity and Inclusion here:
https://www.ucl.ac.uk/equality-diversity-inclusion/

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