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Postdoctoral Fellow, Birney Group (EPIC)

Hinxton, Cambridgeshire, England, UK
Jobs in UKJobs in EnglandFull-time

Staff category
Postdoctoral Fellow

Contract duration
2 years

Year 1 stipend (£2,630 monthly)

Reference number

Job description
We are looking for an experienced post-doctoral fellow with a strong interest in data science and “big data” to join the Birney research group at EMBL-EBI and the Department of Medicine for the Elderly in Addenbrooke’s Hospital for an exciting translational bioinformatics position in Geriatric Medicine and Health Services Research in collaboration with the Clinical School in Cambridge University.

Since 2014, Addenbrooke’s Hospital in Cambridge has an advanced electronic heath records system (EPIC) that can generate anonymised datasets for service evaluation and research under the appropriate clinical governance and ethical regulations.

EMBL-EBI is part of the European Molecular Biology Laboratory (EMBL) and it is a world-leading bioinformatics centre providing biological data to the scientific community with expertise in data storage, analysis and representation. EMBL-EBI provides freely available data from life science experiments, performs basic research in computational biology and offers an extensive user training programme, supporting researchers in academic and industry. We have close ties with both the University of Cambridge and the Wellcome Trust Sanger Institute.

Qualifications and experience
There is a need to understand the characteristics, trajectories and outcomes of older people in the acute hospital in order to help refine existing care pathways. Additionally, there is a strong interest in building predictive models tailored to individuals that may help personalise treatment, care plans and enhance patient safety.

The post holder needs to hold a PhD or masters in Computer Science, Bioinformatics or related fields and have demonstrable skills in data science and the analysis of large data sets. You should have solid experience working with complex data, have a good knowledge of current machine learning, data visualisation and pattern recognition techniques, as well as being skilled in developing software in a Unix-based environment.

The successful applicant will hold a non-clinical honorary contract with the Department of Medicine for the Elderly and will be required to interact with clinical collaborators, presenting results and discussing ideas so good interpersonal skills are required. Knowledge of database design and implementation is not required but would be considered as an advantage. Previous experience in health care will be an asset.

You will hold a degree in computer science or bioinformatics, or a degree in biological sciences and a post-graduate qualification in computer science or bioinformatics. Experience working in genomics, insect biology, epidemiology, or bioinformatics is highly desirable, but not essential.

A minimum of two years professional programming experience or research experience with next generation sequencing data is needed. Experience of working in a dynamic, team-based environment and contributing to a shared code-base is desirable.

You must be highly self-motivated, and be able to work independently and manage your time effectively. You must also be open to working in a production team (willing to conform and contribute to standard working practices); and are expected to have good communication skills, written and verbal, both to facilitate effective communications with other team members and to communicate with external collaborators and users.

The successful candidate will have good knowledge of Perl, though experience in other scripting languages (e.g. Python, JavaScript) or compiled languages (e.g. Java) will also be taken into consideration. Knowledge of relational database management systems (e.g. MySQL), writing SQL statements and designing database schemas is essential. Experience of using Ensembl, indexing systems (e.g.Solr), handling large data sets, workflow management systems for distributed computing (e.g. LSF, SGE), NoSQL database technologies, and of the use of biological ontologies for data annotation, are all desirable.

How to apply
To apply please submit a covering letter and CV, with two referees, through our online system.

Please apply online via www.embl.org/jobs.

Closing date: 6 March 2018

Applications are welcome from all nationalities – visa information will be discussed in more depth with applicants selected for interview.

EMBL-EBI is committed to achieving gender balance and strongly encourages applications from women, who are currently under-represented at all levels. Appointment will be based on merit alone.

Applications will close at 23:00 GMT on the date listed above.

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