Senior Computational Biologist/Computational Biologist

Open Targets has launched Open Targets Genetics (https://genetics.opentargets.org), a portal that aggregates large scale GWAS data with functional genomics data to identify potential drug targets at disease and trait-associated loci.

An exciting Senior Computational Biologist / Computational Biologist (dependent upon experience) role funded by Open Targets has become available at the Wellcome Sanger Institute under the direction of Dr. Maya Ghoussaini. This is a unique opportunity for you to work with cutting-edge human genetics and functional genomics datasets and analyses and participate in the enhancement of the Open Targets Genetics Portal through the development of new functionality and features.

As a Senior Computational Biologist will be responsible for overseeing computational support to all projects and helping with data analysis. You will also develop and apply a range of computational tools to large datasets of genetics and genomics, write manuscripts for publication and keep track of developed codes and generated data within the group.

As a Computational Biologist you will help develop and apply computational pipelines to identify and prioritise drug targets.

This is an opportunity to work across a range of analyses including:

  • Rare and expert-curated loss-of-function (LoF) variants from consanguienous population
  • Mendelian Randomisation results, single cell QTLs, tissue enrichment
  • Machine Learning approaches

You will  have the opportunity to work at the interface between academia and industry through regular interactions with Open Targets pharma partners and active computational and experimental research teams across the Sanger Institute and EBI. You will work closely with members of the Open Targets Core Platform Team and Genetics Team as well as with our national and international collaborators. You will be supported in your personal and professional development and have the opportunity to conduct peer-reviewed publications around using genetics and genomics approaches to guide drug discovery and present them at national and international conferences.

For full job role responsibilities, please download the job description.

Job Logo
Open Targets
Grade
1/2
Salary per annum
38,433 to 55,341 (salary dependent on experience)
Full Time, Part Time, Flexible Working
Full Time
Contract Type
Fixed Term
Contract Length
3 years
Job Reference
84784

Essential Skills

Senior Computational Biologist -

  • PhD in Computational Biology, or a closely related discipline.
  • Advanced level programming skills suitable for genetic and computational analyses, such as Python or R.
  • Extensive previous experience in working with large-scale genetic datasets.
  • Firm grounding with statistical methods of complex and rare disease genetics such as genome wide association studies, PheWAS, Mendelian Randomisation, tissue enrichment methods, network analysis, whole exome/genome sequencing analyses, identification and quality control of rare variants.
  • Experience in functional genomics data analysis and integration (RNAseq, ChIPseq, etc)
  • Good experience with generating reproducible statistical and bioinformatics pipelines
  • Ability to work to tight  deadlines and manage competing priorities.
  • Demonstrable project management and organisational skills.
  • Fluent in written and spoken English.
  • Ability to communicate ideas and results effectively.
  • Ability to work independently and organise own workload.
  • Mentoring junior employees.

Computational Biologist –

  • PhD in Computational Biology, or a closely related discipline.
  • Advanced level programming skills suitable for genetic and computational analyses, such as Python or R.
  • Previous experience in working with large-scale genetic datasets.
  • Good understanding of statistical methods of complex and/or rare disease genetics such as GWAS, whole exome/genome sequencing analyses, Mendelian Randomisation, PheWAS, identification and quality control of rare variants.
  • Ability to work to tight timelines.
  • Demonstrable project management and organisational skills.
  • Fluent in written and spoken English.
  • Ability to communicate ideas and results effectively.
  • Ability to work independently and organise own workload.

Other information

Applications will be reviewed on an ongoing basis, and the role may close early when a successful appointment is made.

Please apply with your CV and a Cover letter outlining how you meet the criteria set out above and in the job description.

About Open Targets

Open Targets is a pioneering public-private partnership between European Bioinformatics Institute (EMBL-EBI), GlaxoSmithKline (GSK), the Wellcome Sanger Institute (Sanger), Sanofi, Pfizer and Bristol Meyers Squibb (BMS), located at the Wellcome Genome Campus in Hinxton, near Cambridge, UK.  

Open Targets brings together expertise from five complementary institutions to generate evidence on the biological validity of therapeutic targets and provide an initial assessment of the likely effectiveness of pharmacological intervention on these targets, using genome-scale experiments and analysis. Open Targets aims to provide an R&D framework that applies to all aspects of human disease to improve the success rate of discovering new medicines and share data openly in the interest of accelerating drug discovery.