UK MED-BIO Project Bioinformatician

Imperial College London
Job Location
St Mary's campus, Norfolk Place
Imperial College
W2 1PG
United Kingdom
£43,980 - £53,160 per annum

generous annual leave, employer contribution pension scheme

Job Description

The post is full-time and fixed term until the 31st March 2019, in the first instance and will be based at St Marys Campus.

UK MEDical BIOinformatics partnership – aggregation, integration, visualisation and analysis of large, complex data (UK MED-BIO) funded by MRC brings together a world-leading multi-disciplinary team in medical and computer science, medical bioinformatics, statistical and biochemical analysis, across Imperial College London with links to the National Phenome Centre and Imperial’s Data Science Institute.

 The project will provide extensive capacity to assemble phenotypic data with multi-omic information, develop powerful new approaches to the integration and analysis of large-scale, complex, multi-source medical data and multi-variate data model visualisation and from these create new knowledge on disease aetiology, underlying biochemical pathways and mechanisms. 

 We have an exciting opportunity for a senior postdoctoral bioinformatician with strong experience of large scale data analyses and manipulation, management and integration of multi-‘omic datasets, with the drive and initiative to assist in managing and coordinating the day to day running and data analysis aspects of a large multi-partner project.The post holder will take day-to-day responsibility for running and coordination of the analyses and data management aspects of UK MED-BIO, reporting to the Director. The postholder will personally undertake bioinformatics and statistical analyses for the project (together with project research fellows, other personnel) and take an active role in developing and implementing the data management plan.


You should have a postgraduate degree and preferably a PhD in bioinformatics, computational biology, statistics or other relevant quantitative sciences), with ability to personally tackle a wide range of bioinformatics analyses, including sequence-based , strong knowledge and experience of large-scale data analysis using modern statistical modelling techniques, extensive practical experience in R or similar, python and/or perl and have a good understanding of the computational aspects of bioinformatics including algorithms. You should also have the ability to take the initiative to develop solutions to complex data problems, together with a track record of publications and collaborative work commensurate with the level of appointment.

 Programming experience in Java and/or C, C++, SQL, experience of installing and maintaining bioinformatics software in a multi-user environment. and a strong understanding and familiarity with key bio-data formats and data standards are desirable.  Previous experience of working in a multidisciplinary research environment, demonstrable research project management skills and experience including identifying and applying for funding opportunities are also desirable.

How to Apply

For further information, please contact Dr Sarah Butcher ([email protected]), full job details are available from the website below.


Our preferred method of application is online via our website at (please select “Job Search” then enter the job title or vacancy reference number into “Keywords”). Please complete and upload an application form as directed quoting reference number SM225-15AL.

Alternatively, if you are unable to apply online, please email [email protected] to request an application form.

Closing Date: 30 September 2015 (Midnight BST)

About Our Organization

Imperial Managers lead by example.

Committed to equality and valuing diversity. We are also an Athena SWAN Silver Award winner, a Stonewall Diversity Champion, a Two Ticks Employer and are working in partnership with GIRES to promote respect for trans people.

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.

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