Postdoctoral Fellow

Organization
EMBL-EBI
Job Location
EMBL-EBI Wellcome Genome Campus
Hinxton
Cambridge
Cambridgeshire
CB10 1SD
United Kingdom
Salary
Competitive
Benefits

EMBL is an inclusive, equal opportunity employer offering attractive conditions and benefits appropriate to an international research organisation. The remuneration package comprises a competitive salary, a comprehensive pension scheme and health insurance, educational and other family related benefits where applicable, as well as financial support for relocation and installation.

We have an informal culture, international working environment and excellent professional development opportunities but one of the really amazing things about us is the concentration of technical and scientific expertise – something you probably won’t find anywhere else.

If you’ve ever visited the campus you’ll have experienced first-hand our friendly, collegial and supportive atmosphere, set in the beautiful Cambridgeshire countryside. Our staff also enjoy excellent sports facilities including a gym, a free shuttle bus, an on-site nursery, cafés and restaurant and a library

Job Description

We are seeking to recruit a Postdoctoral Fellow for a position in computational cancer genomics in the Open Targets team, located on the Wellcome Genome Campus, near Cambridge, UK.

 The project is a collaborative effort involving teams in the Wellcome Trust Sanger Institute, the European Bioinformatics Institute, GlaxoSmithKline, and Biogen, through a public-private initiative aiming at generating evidence on the validity of therapeutic targets, and is committed to sharing its data openly with the scientific community.

Large panels of immortalised human cancer cell lines, and more recently, 3D in vitro models (such as cancer organoids) are routinely used in oncology research, including on going and proposed projects at Open Targets. Recent studies have revealed a high degree of variability in the correlation between the molecular features of these models and those characterising the primary tumours they aim to represent. This has implications for the quality of target data emerging from studies using such models.

You will apply existing and develop novel algorithms and computational tools for ranking in vitro model similarities to primary diseases, to make appropriate informed choices about model inclusion/exclusion in retrospective and prospective analyses, and to identify disease subtypes currently lacking appropriate in vitro models.

Requirements

You will hold a doctoral degree qualification in statistics, mathematics, physics, engineering or computer science. A degree in biological science with substantial experience in computational and statistical work may also be considered.

Expertise in the analysis of ‘omics’ data, combinatorics, pattern recognition, unsupervised machine learning, and familiarity with cancer biology and genomics will be highly beneficial.

Proficiency with appropriate scripting languages is required, in particular R and Python. Previous experience in developing computational methods and implementing them in software in a scientific context is desirable.

You should feel comfortable interacting with others in an interdisciplinary setting, since research will run in close collaboration with other groups.  Good written and oral communication skills are required.

How to Apply

To apply please submit a covering letter and CV, with two referees, through our online system.

About Our Organization

EMBL-EBI is part of the European Molecular Biology Laboratory (EMBL) and it is a world-leading bioinformatics centre providing biological data to the scientific community with expertise in data storage, analysis and representation. EMBL-EBI provides freely available data from life science experiments, performs basic research in computational biology and offers an extensive user training programme, supporting researchers in academic and industry. We have close ties with both the University of Cambridge and the Wellcome Trust Sanger Institute.

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