Postdoctoral Research Assistant in Cancer Genome Informatics

University of Oxford
Job Location
United Kingdom
Grade 7: £29,837- £36,661 with a discretionary range to £40,046 p.a
Job Description

Applications are invited for a Postdoctoral Research Scientist in Cancer Genome Informatics based jointly between the Ahmed Group at the Weatherall Institute for Molecular Medicine and the Yau Group at the Wellcome Trust Centre for Human Genetics. The position is funded by Ovarian Cancer Action and will involve the development of novel computational approaches in a study that will employ innovative patient monitoring strategies and cutting-edge genomic technologies. The postholder will be in a position to make a substantial contribution to furthering understanding and improving patient healthcare in ovarian cancer. The post is fixed-term for 3 years and available as soon as possible. Please refer to the job description for further information on applying for this post. The closing date is midday on Monday 4th August 2014. Interviews will be held on Thursday 14th August 2014 where candidates will be required to give a 10 minute presentation.


The position would suit a candidate who is interested in developing a career in Biomedical Informatics. Ideally, you will have recent experience of bioinformatics methods development gained through a PhD (or equivalent) in a quantitative subject (e.g. Mathematics, Physics, Engineering or Computer Science). Experience of statistical machine learning techniques is highly desirable as is evidence of prior experience of analysing DNA or RNA sequencing data. You will be able to work as part of a team and independently and deliver results to the required standard and schedule. You should also possess the ability to organise and prioritise your own work with minimal supervision. The post will involve extensive interactions with collaborators in the Biomedical Sciences and Statistics.

How to Apply

Informal enquiries should be directed to Professor A Ahmed: [email protected] or Dr C Yau: [email protected] Applications can be made via:

New study finds bias against female lecturers among student course evaluations, the Economist reports.

A research duo finds that science and technology graduate students who turn away from academic careers do so because of changes in their own interests.

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.