Salary £31,498 to £39,729 per annum depending on experience (Senior Bioinformatician)
Salary £24,589 to £30,995 per annum depending on experience (Bioinformatician)
Fixed term for 3 years.
We are looking for an enthusiastic and skilled Bioinformatician/Senior Bioinformatician to join the Soranzo team at the Wellcome Trust Sanger Institute (http://www.sanger.ac.uk/research/faculty/nsoranzo/). The post will suit an ambitious and talented individual who is interested in applying his/her skills at the interface of human disease and regulatory genomics.
The Soranzo team at the Sanger Institute studies genomic predisposition to cardiometabolic risk. In the last ten years, we have led international efforts to discover genetic variants associated with both established and emerging risk factors in cardiovascular disease, diabetes and immunity. Distinguishing features of our research are the focus on large-scale science, the use of genome sequencing for genomic exploration, and a focus on high-dimensional ('omic') phenotypes, including metabolomics and gene expression phenotypes.
This position will be primarily responsible for supporting the computational needs of the team, and for the processing, storage and visualisation of large-scale biological datasets. The primary aim of this work will be to develop computational tools, databases and web-based interfaces for rapid retrieval and visualisation of genetic association datasets in the context of functional genomic data. Further, the candidate will be responsible for the storage and maintenance of a large number of genomic datasets. Depending on skills and interests, the candidate will also have the opportunity to be involved in the processing and analysis of large-scale genomic datasets based on next generation sequencing, including whole genome sequencing, gene expression, promoter capture, histone modifications, methylation and transcription factor data. These efforts will inform efforts to characterise the impact of sequence variation through large-scale functional genomic explorations. The post-holder is expected to work in a highly independent manner, and to support the generation of high-impact publications.
This researcher will be embedded an interdisciplinary team of computational scientists, bioinformaticians, statisticians and wet lab scientists seeking to study the functional impact of rare human sequence variation in complex traits and disease.
Essential Skills
- A PhD in computer science, computational biology, biostatistics, bioinformatics, or a similar numerical discipline is desired although not strictly necessary.
- Demonstrated programming skills in shell scripting (e.g. bash, tcsh).
- Demonstrated programming skills in an object-oriented language (C, C++, PERL, Python or similar).
- Good experience of design and use of relational databases, including MySQL, SQL and Oracle.
- Experience of visualizing and reporting data, on and off the web.
- Good communication skills directly with scientific researchers regarding programming and analysis requirements.
- Documented experience in data parsing, cleansing, data modelling, analysis, and database design and implementation.
- Excellent communication, organisational and problem-solving skills.
- Ability to work to tight timelines, both independently and as part of a team.
- Ability to communicate efficiently with a diverse array of scientific expertise.
- Enthusiasm, commitment and attention to detail.
- The ability to anticipate needs and problems while creating solutions.
Ideal Skills
- Knowledge of biological analysis pipelines.
- Knowledge of leading NGS processing techniques for the identification of SNPs, INDELs and structural variants.
- Direct experience processing NGS data is a plus.
- Experience providing advice, training and support to other researchers in the areas of bioinformatics and data analysis.
Other information
The Sanger Institute is a charitably funded research centre focused on understanding the role of genetics in health and disease. We use state of the art large-scale genomic approaches to drive world-leading projects to uncover the basis of genetic and infectious diseases. Our goal is to provide results that can be translated into diagnostics, treatments or therapies that reduce global health burdens. The Institute is located near Cambridge, UK on the stunning Wellcome Genome Campus. This growing and dynamic site is the British hub of genomic science. It hosts the European Bioinformatics Institute (EBI), Open Targets, a Biodata Innovation Centre and will soon host Genomics England Limited's 100,000 Genomes Sequencing Centre. The Campus is also home to Wellcome Genome Campus Connecting Science. Connecting Science inspires new thinking, sparks conversation and supports learning by drawing on the ground-breaking research taking place on the Campus. Its mission is to enable everyone to explore genomic science and its impact on research, health and society. To help researchers to develop their skills and networks, the Institute hosts a range of scientific seminars with internal and invited speakers, scientific group meetings and skills development workshops. Our Benefits include: Defined Contribution Pension Scheme, Group Income Protection, Healthcare scheme, Childcare Vouchers, Workplace Nursery and 25 days Annual Leave, increasing by one day per year up to a maximum of 30 days, plus Bank Holidays. We also have a gym, two cafes, dining facilities, and a free campus bus service. Our thriving Sports and Social Club provides many opportunities to meet with people working across the campus. The Wellcome Trust Sanger Institute welcomes applications from all candidates irrespective of age, disability, gender, gender identity, sexual orientation, race, religion or belief, or marital or civil partnership status.
Please include a covering letter and CV with your application.
Closing date for applications: 27th July 2017, however applications will be considered and reviewed on an on-going basis and therefore the post may be filled before the deadline.
To apply click on the following link: https://jobs.sanger.ac.uk/wd/plsql/wd_portal.show_job?p_web_site_id=1764&p_web_page_id=318812
