Postdoctoral Researcher in Computational Cancer Genomics, Dept of Oncology, University of Oxford, UK

Dept of Oncology, University of Oxford, UK
Job Location
United Kingdom
Grade 7: £30,434 - £37,394 with a discretionary range to £40,847 p.a.
Job Description

Applications are invited for a Postdoctoral Researcher in Computational Cancer Genomics to join a rapidly developing Bioinformatics Research Core Group (Dr Anastasia Samsonova), based at the Department of Oncology, University of Oxford.

The position entails the development, evaluation of models and computational methods and tools for analysis and interpretation of cancer *omics data aiming to unravel the impact of genetic variation in cancers, was well as delineate mechanisms of tumor growth, metastasis, and resistance to treatment in the context of highly collaborative projects with significant translational impact.

You will have a PhD or equivalent in computational biology, bioinformatics, statistics or a field relevant to quantitative subject. Experience in high-throughput sequencing data analyses e.g statistical genetics, *omics data mining/integration, genome-wide association studies. A good understanding of cancer biology would be advantageous. You should have strong analytical, computational/ programming skills, in addition to creativity, curiosity, enthusiasm, and ability to work independently.

The post is ideally suited for an early career researcher with an interest in developing a career that involves working at the interdisciplinary interface between Statistics/Machine Learning, Genomics and Cancer Biology.  We seek candidates who are highly self-motivated and very comfortable working in a team environment.

See also:

For informal enquiries, contact Dr Anastasia Samsonova ([email protected]). Please quote reference 118838 on all correspondence.

This is a full time post and is fixed-term until 31 March 2017.

The closing date for applications is 12 noon on 16 July 2015.

Students whose classmates are interested in science are more likely to think about a career in science, technology, engineering, and mathematics, a new study says.

CNBC reports that the genetic counseling field is expected to grow as personalized medicine becomes more common.

Gladys Kong writes at Fortune that her STEM background has helped her as a CEO.

Social scientists report that the image of the 'lone scientist' might be deterring US students from STEM careers.