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BACKGROUND

Applications are invited for a bioinformatician to join the Genetic Epidemiology Group at Wellcome Trust Sanger Institute based in Hinxton; Cambridge. The group has a strong focus on medical genetic research in sub-Saharan Africa, including leading a large-scale whole genome sequencing effort on 4000 individuals to characterise genetic diversity across Africa, studying population migration and admixture, with sequencing of ancient DNA across the region, and whole genome association studies of cardiometabolic and infectious disease traits in African populations. We have recently published on the African Genome Variation Project (Gurdasani D. et al, Nature, 2014), a large panel of genotyping and sequence data available as a resource to inform medical genetics across Africa.

RESPONSIBILITIES

The successful candidate will work collaboratively to develop data analysis strategies to curate large-scale next generation sequencing data and address key questions about population genetics in relation to health and disease Africa, including the opportunity to work with ancient DNA from the region. The post-holder will also interact with WTSI systems teams, international research groups, and support the work of other research group members, including capacity building projects in Africa. This is an exceptional opportunity for candidates to enhance their knowledge and skills while working at the frontline of global genomics research in a group recognised for their research excellence.

REQUIREMENTS

Essential Skills:

Applicants should ideally have a first degree in a highly numerate subject (e.g. natural sciences, maths, statistics or computer science) or have a degree in another subject coupled with extensive experience working with quantitative data
Proven understanding and experience in the fields of genomics, data processing, high-throughput data analysis, and genomic databases. Understanding of genome structure a must
Experience providing advice, training and support to other researchers in the areas of bioinformatics and data analysis
Firm grasp of univariate statistical analysis fundamentals necessary. Experience with multivariate statistics or statistical modelling a plus
Candidates should have knowledge of leading NGS processing techniques for the identification of SNPs and structural variants
Strong computational skills, particularly in data parsing, cleansing, data modeling, analysis, and database design and implementation
Knowledge and experience working in a unix/linux environment
Demonstrated programming skills in shell scripting (e.g. bash, tcsh), interpreted/scripting languages (e.g. Perl, Python, R)
Ability to review, synthesise, and present scientific data and methods
Good written and verbal communication skills
The ability to present methodologies and results succinctly
The ability to anticipate needs and problems while creating solutions
The ability to work within a team

PREFERENCES

Ideal Skills:

A PhD in computer science, computational biology, biostatistics, bioinformatics, or similar fields is desired although not strictly necessary
Direct experience processing NGS data is a plus
Candidates would ideally be familiar with the capabilities and limitations of NGS platforms and informatics pipelines, so that data can be appropriately integrated into analyses
Experience with cluster computing is a plus
Programming skills in compiled language(s) (e.g. Java, C, C++)

LOCALE

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 Course and Scientific Conferences programme and the Wellcome Trust Conference Centre.

In addition to its peaceful location the campus offers excellent facilities including a start 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.

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.

TERMS

Fixed-term for 3 years in the first instance
The successful applicant may be required to travel to Africa.
Position will be preferentially offered at either the Senior or Principal Bioinformatician level; however applications from more junior candidates showing strong interest and potential for development will also be considered.

COMPENSATION

Our Benefits include: Defined Benefit Pension Scheme, Group Income Protection, Healthcare scheme, Childcare Vouchers, Nursery and Annual Leave 25 days plus Bank Holidays.
Salary range for Senior Bioinformation: GBP 30574 to GBP 38564 (dependent on level of experience)
Salary range for Principal Bioinformatician: GBP 37845 to GBP 48147 (dependent on level of experience)

HOW TO APPLY

Please apply via: https://jobs.sanger.ac.uk/wd/plsql/wd_portal.show_job?p_web_site_id=1764&p_web_page_id=206908&p_vacancy=principal-senior-bioinformatician-wellcome-trust-sanger-institute&p_lang=DEFAULT

DEADLINE

Closing date: 30 January 2015

Discussion forums: Opportunity: Principal/Senior Bioinformatician @ Wellcome Trust Sanger Institute -- Hinxton/Cambridge, UK

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