Senior Bioinformatician (Fixed Term)

University of Cambridge

United Kingdom

January 3, 2022


Senior Bioinformatician (Fixed Term)

Applications are invited for a full-time position in the Cancer Clinical Innovation Group (CCIG), part of the Breast Programme, CRUK Cambridge Cancer Centre, as a bioinformatician. Led by Professor Jean Abraham, the group is part of the Breast Programme which is involved in world leading clinical and translational research into breast cancer, and is staffed by a multi- disciplinary team, including oncologists, pathologists, biologists, computational scientists, statisticians and laboratory staff.

The successful candidate will be working closely with other members of CCIG, Cambridge Breast Cancer Research Unit, other members of the Breast Programme, including members of the MRC ¿ Biostatistics Unit (Oscar Rueda Group), CRUK Cambridge Institute (various groups) and the Mark Foundation Institute Integrated Cancer Medicine theme and its associated academic teams, in the CRUK Cambridge Centre. The work will focus on samples and data derived from historical, current and future clinical trials in breast cancer. There is a special focus in high risk and hereditary breast cancers. The post will focus on understanding the clinical applicability of translational data into clinical practice. The successful candidate may also work on refining pipelines for analysis of high-throughput data, applying existing algorithms and developing new algorithms and models for estimation of novel biomarkers and data integration, some of which may be incorporated into prospective clinical trials and multi-modal data integration models.

The successful candidate will receive regular mentoring and technical support as part of an ongoing collaboration with NVIDIA. NVIDIA Healthcare are world- leaders in the development of novel AI/machine learning tools in radiomics, genomics and electronic health record derived data.

This project may require the development of novel statistical methods, therefore we are looking for a candidate with a PhD in Computational Biology, Statistics or a related discipline. Experience in Next Generation Sequencing data analysis and excellent data handling skills are essential. The work will be carried out within a multidisciplinary team that includes genomic, biological, computational and clinical scientists. Teamwork and ability to communicate ideas and results is required, as well as a cooperative approach to working and an ability to communicate and interact with colleagues with other backgrounds.

Advanced knowledge of R/python and sequencing data analysis pipelines is also needed.

Any queries regarding this post should be directed jointly to Jean Abraham and Oscar Rueda by e-mail at and oscar.rueda@mrc- respectively.

Fixed-term: The funds for this post are available for 2 years in the first instance.

This appointment also requires a Research Passport application.

Click the 'Apply' button below to register an account with our recruitment system (if you have not already) and apply online.

Closing Date: 3rd January 2022

Please ensure that you upload a covering letter and CV in the Upload section of the online application. The covering letter should outline how you match the criteria for the post and why you are applying for this role. If you upload any additional documents which have not been requested, we will not be able to consider these as part of your application.

Please include details of your referees, including email address and phone number, one of which must be your most recent line manager.

Please quote reference RD29170 on your application and in any correspondence about this vacancy.

The University actively supports equality, diversity and inclusion and encourages applications from all sections of society.

The University has a responsibility to ensure that all employees are eligible to live and work in the UK.

Further information
  • Further Particulars
  • Department/Location

    Department of Oncology








    24 November 2021

    Closing date

    3 January 2022

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