Graduate Research Assistant (Bioinformatics)

Job ID: P62781
Job date: 2018-06-23
End Date: 2018-07-05

Company : University of Exeter 

Country : United Kingdom 

Role : Research Scientist 


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Job Description:
The College wishes to recruit a Graduate Research Assistant in bioinformatics to support the work of Complex Disease Epigenetics Group (www.epigenomicslab.com ). You will be part of a dynamic team who work on a number of large, complex genomic, epigenomic and transcriptomic datasets, investigating the causes and consequences of molecular variation in the brain. You will have the opportunity to contribute to a wide range of research projects by supporting the processing, quality control and analysis of genomic data generated by our group. There will be scope to receive training in bioinformatics approaches and play a role in developing novel informatics pipelines. The post is for a fixed-term 1 year contract in the first instance, and is available to start immediately.

The position will involve:

• Communicating with fellow team members to facilitate data generation pipelines.

• Checking the quality of experimental genomic data as it is generated by implementing an existing pipeline within the R statistical language and informing relevant team members if inconsistencies or technical issues are identified.

• Developing additional quality control metrics for inclusion in standard pipelines.

• Performing association analyses and downstream analyses as required related to various disease phenotypes.

• Contributing to the production of research reports and publications.

• Supporting additional bioinformatics or statistical analyses as required.

• Supporting the teaching of related bioinformatics (statistics/programming etc.) skills.

• Keeping on top of and testing new methodologies for epigenome-wide association studies.

About you:

You will have some training in mathematics and/or computer science. Ideally you will have experience of R/Python/Perl/C or another related language, although some training opportunities will be available to further develop these skills. In addition you must be confident with statistics including linear regression and ANOVAs, well-organised and a good communicator (written and verbal). Applicants should have an interest in genomics, neuroscience, and/or biology, although a degree in these areas is not essential. You should be able to work in a multi-disciplinary team and be well motivated to independently accomplish the tasks they are set.

You will be educated to at least first degree level or possess an equivalent qualification/experience in a relevant discipline (e.g. mathematics, computer science, biological sciences). You should be able to demonstrate sufficient knowledge in the discipline and of research methods and techniques to work within established research programmes.


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Additional Info:
Location: Exeter

Salary: The starting salary will be from £26,495 on Grade E, depending on qualifications and experience

Hours: Full Time

Contract Type: Fixed-Term/Contract

Placed on: 21st June 2018

Closes: 5th July 2018

Job Ref: P62781

For further information please contact Prof. Jonathan Mill, Professor of Epigenetics: telephone - 01392-408301, or email - J.Mill@exeter.ac.uk or Dr Eilis Hannon, Bioinformatics Research Fellow: email - E.J.Hannon@exeter.ac.uk

This role may be subject to additional background screening.

The College is proud to have a Silver Athena SWAN award in recognition of our commitment and impact to providing equality of opportunity and advancing the representation of women in STEM/M subjects. Our Inspiring Stories tell you more about how we support our staff, including through a mentoring programme to help our staff learn from the professional and life experience of colleagues and explore opportunities and actions for career progression.

The University of Exeter is an equal opportunity employer. We are officially recognised as a Disability Confident employer, an Athena Swan accredited institution and a Stonewall Diversity Champion. Whilst all applicants will be judged on merit alone, we particularly welcome applications from groups currently underrepresented in the workforce.

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