Senior Computational Biologist

**About the role**



An exciting opportunity has arisen for a Senior Computational Biologist within
the Department of Oncology, based in the Oxford Molecular Diagnostics Centre.



One of it's emphases is on clinical applications of novel genomics
technologies, in particular next generation sequencing and array-based
methods. The results of this programme are already being translated to the
clinic. Particular focus is currently on cancer, haematology and inherited
disorders.



The interdisciplinary nature of the Department of Oncology and of the Oxford
Molecular Diagnostics Centre involves a diverse and stimulating array of
challenges relating to biology, sequence analysis, statistics, computer
programming and the application of these to clinical questions. This, combined
with collaborations across Oxford’s CRUK Cancer Centre and the Oxford Centre
of Early Cancer Detection (OxCode) provides an active and rich research
environment.



You will be responsible for scientifically leading the chronic lymphocytic
leukaemia (CLL) related cancer genomics projects. You will work with a small
group of data scientists to develop a molecular risk score for disease
progression from pre-malignancy using a large data set of whole genome tumour-
normal pairs. In addition, you will be involved in applying tools for neo-
epitope prediction of CLL from transcriptome sequencing. You will be familiar
with working in the Genomics England’s data environment. You will apply
analysis methods and where appropriate, develop novel methods and algorithms,
and work on setting up and maintaining the necessary data processing
pipelines. You will work closely with multi-disciplinary project teams,
encompassing laboratory scientists and clinicians and other data scientists on
the Oxford Campus.



This is a full-time post, fixed-term for 1 year in first instance.





**About You**



You must hold a PhD in Bioinformatics, Statistical Genetics or similar
discipline, along with deep understanding of CLL genomics evidenced by high-
impact publications. You will have previous overseas postdoctoral experience
in an internationally renowned institution in applied DNA sequence analysis or
a directly comparable field. Demonstrable programming skills in languages such
as Python, Java, C/C++, R or similar and ability to assess new developments in
bioinformatics are essential. You will have early evidence of the ability to
lead a team scientifically and a proven track record of managing international
collaborations effectively, as well as previous experience of directly
supervising students. A Strong academic publication record in peer-reviewed
journals and previous experience of cancer sequence analysis would be
advantageous.





**Application Process**



If you would like to discuss this role please contact Professor Anna Schuh on
anna.schuh@oncology.ox.ac.uk



You will be required to upload a supporting statement (setting out how you
meet the selection criteria), a curriculum vitae and the names and contact
details of two referees as part of your online application.





The closing date for applications is **12.00 noon on 3 April 2024**.





Interviews are expected to take place w/c 22th April 2024. Candidates should
be available for interview during this time.





**Committed to equality and valuing diversity**