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 post-holder will be in a position to make a substantial contribution to furthering understanding and improving patient healthcare in ovarian cancer.
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 and have excellent communication skills, both written and oral. The post will involve extensive interactions with collaborators in the Biomedical Sciences and Statistics.
The post is fixed-term for three years and available as soon as possible.
The closing date is midday on Monday 28th April 2014. Shortlisted applicants will be informed by 9th May 2014 and interviews held in the afternoon of Thursday 29th May 2014 where candidates will be required to give a 10 minute presentation.
All applications are to be made through: http://www.ox.ac.uk/about_the_university/jobs/index.html
To apply for this position, you will be required to upload a cover letter, a CV, a supporting statement and the details of two referees as part of your online application.