BACKGROUND

We are seeking a motivated and enthusiastic computational biologist to join the research group of Dr Adam Mead. Funded by the Medical Research Council (MRC) and John Fell Fund, the position is initially available fixed-term for 2 years. You will be involved with developing new and innovative strategies for the analysis of cutting-edge single cell transcriptomic datasets and will lead a project focused on single-cell analysis of haematopoietic stem and progenitor cells. Working within the MRC WIMM Centre for Computational Biology you will interact closely with Dr David Sims who leads CGAT. The Mead laboratory is located in the excellent environment of the MRC Weatherall Institute of Molecular Medicine, which has a world-renowned scientific environment and outstanding core facilities and equipment, including a dedicated single-cell genomics facility. Our research programme is focused on using single-cell approaches to understand how the normal cellular and molecular pathways in haematopoiesis are perturbed in myeloid leukaemias and in pre-leukaemic conditions e.g. Giustacchini et al Nature Medicine, 2017. For further information on Dr Mead's research group and the Institute please see: http://www.imm.ox.ac.uk/home.

REQUIREMENTS

You will hold a PhD or MSc in statistics, computational biology or a similar scientific subject, with post-qualification research experience. Experience in the analysis of high dimensional datasets and demonstrable skills/track record in statistics are essential. You will also have experience of working in a UNIX/LINUX environment and programming in Perl or Python.

LOCALE

Radcliffe Department of Medicine, MRC Weatherall Institute of Molecular Medicine, John Radcliffe Hospital, Headington, Oxford

COMPENSATION

Grade 8: £39,992 - £47,722 p.a. Consideration will be given to applicants who do not fulfill all of the criteria for a Grade 8 appointment. A reduction in duties and criteria for a Grade 7 appointment (£31,604 - £38,833 p.a.) are detailed in the job description.

HOW TO APPLY

Applications for this vacancy are to be made online at https://www.recruit.ox.ac.uk (Vacancy ID 131303). You will be required to upload a CV and supporting statement as part of your online application.

DEADLINE

The closing date for this position is 12.00 noon on 27 October 2017.