Wellcome Trust Sanger Institute: Postdoctoral Fellow

Job ID: 3141
Job date: 2015-04-08
End Date:

Company : Wellcome Trust Sanger Institute 

Country :

Role : Postdoc 


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Job Description:

Salary range: £30202 to £37860 dependent on experience

Fixed-term for 3 years

We are looking for an enthusiastic and ambitious postdoctoral fellow (PDF) to join the metabolic disease group at the Wellcome Trust Sanger Institute. The role involves analysis of large genetic datasets including GWAS data, whole-exome and whole-genome sequence data with a focus on metabolic-disease related phenotypes. There are many exciting opportunities to work on these large genetic datasets including initiatives in INTERVAL (http://www.intervalstudy.org.uk/) and in Africa. As part of the UK Cardiometabolic consortium we will also have data from a prospective cohort of 0.5M participants being genotyped by UK Biobank (http://www.ukbiobank.ac.uk/).

The ideal candidate will be able to develop and drive their own research ideas taking advantage of the resources available to the group, as well as work as part of a team.  We are looking for candidates with a PhD in bioinformatics, statistical genetics (or closely related subject) and a strong record of academic achievement. Good programming and statistical skills are essential as is experience of working with large-scale genetic data. Excellent facilities are available and there is a strong commitment to career development.

Key responsibilities

Managing and analysing GWAS data; Managing large-scale whole-genome and whole-exome datasets; Investigating genetic association of sequence-derived variants with phenotypes of interest; Develop and validate novel analytical methods where required; Design follow-up studies; Develop own research projects; Work in collaboration with other analysts involved in large international collaborative projects; Present work at international meetings; Draft manuscripts for publication; Communicate with collaborators

Essential Skills

Demonstrable experience and initiative in developing and leading projects Extensive experience in quantitative science as evidenced for example by a postgraduate degree in bioinformatics, statistical genetics (or closely related subject) Good scripting/programming skills Firm grounding in statistical methods Previous experience in working with large-scale (empirical and/or simulated) datasets Experience in the application of statistical methods to the analysis of genetic data Strong written and verbal communication skills

Ideal Skills

Experience in managing and analysing whole genome sequence data Strong track record in preparing publications and other written materials Demonstrable good project management and organisational skills Track record of developing new analytical approaches of genetic data

Other information

The metabolic disease group (http://www.sanger.ac.uk/research/projects/metabolicdisease/) is a multidisciplinary team that combines large-scale genetic and genomic approaches, and studies in model organisms to understand the aetiology of various metabolic diseases.  The group is involved in many large international consortia such as MAGIC (www.magicinvestigators.org) and GIANT (http://www.broadinstitute.org/collaboration/giant) and work is very collaborative with internal and external groups.

Postdoctoral Fellows are typically in their first or second postdoctoral position as part of a period of early career research training. Due to the nature of the contract no minimum or maximum period of employment can be guaranteed.

Life at the Sanger

The Genome Campus is a 100-acre estate south of Cambridge in the grounds of Hinxton Hall. Nestled in the quiet countryside of these landscaped gardens, are two world-class research facilities: the Wellcome Trust Sanger Institute and the European Bioinformatics Institute (EBI). The site has become the British hub of biomedical science. The Campus is also home to the Wellcome Trust Advanced Courses and Scientific Conferences programme and the Wellcome Trust Conference Centre.

In addition to its peaceful location the campus offers excellent facilities including a state of the art data centre, gym, two cafes, a nursery, dining facilities, a cycle to work scheme, car sharing and free campus buses from various locations around Cambridge.

Equally important to campus life is the range of social activities offered by the Sports and Social Club whether it is a Burns' Night Supper or a quiz night there are opportunities to meet with people working across the organization.

Learning, development and networking are other important aspects of life on campus. There are a range of scientific seminars with our own and invited speakers, scientific group meetings and skills development workshops.

Please include a covering letter and CV with your application.

Closing date for applications: 1st May 2015


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