Computational Biologist

Nuffield Division of Clinical Laboratory Sciences, University of Oxford

Oxford, South East England, United Kingdom

Salary: Grade 7: £32,236 - £39,609 p.a.

Applications are invited for an experienced and highly motivated individual to lead the analysis and interpretation of single cell RNAseq data, and the development of bespoke analysis packages for a novel single cell lineage tracing method. The successful candidate will work with Dr David Sims (MRC WIMM Centre for Computational Biology) and collaborate closely with Professor Colin Akerman (Department of Pharmacology) to develop the method and apply it to important questions in developmental neuroscience.

At the MRC WIMM Centre for Computational Biology (CCB), we work alongside scientists and clinicians to realise the potential of ‘big data’ in biology by exploiting complex information to make discoveries that benefit human health. The CCB encompasses an international team of over 40 computational biologists, statisticians and software engineers working closely with 500 lab-based scientists and clinicians.

You will hold a PhD in a quantitative discipline (e.g. bioinformatics, computational biology, computer science, physics, statistics, engineering or mathematics). You will be have experience of working in a Linux environment and be proficient in software development and data analysis in Python and R. Excellent interpersonal and communication skills, with the ability to convey concepts to other scientists in different fields of research are essential. Experience in computational genomics, particularly single-cell RNAseq data analysis is highly desirable.

The position is available fixed-term for 2 years, funded by Biotechnology and Biological Sciences Research Council (BBSRC).

Applications for this vacancy are to be made online. You will be required to upload a CV and supporting statement as part of your online application.

The closing date for this position is 12.00 noon on 3 June 2019.

Please apply via recruiter’s website.

Quote Reference: University of Oxford-itox_ac-140498