Research Scientist/Bioinformatician

Job Location: 
Hinxton near Cambridge, UK
Job Description: 

We are seeking to employ an enthusiastic Research Scientist/Bioinformatician to join the Statistical Genomics and Systems Genetics Group at the European Bioinformatics Institute (EMBL-EBI) located on the Wellcome Trust Genome Campus in the UK.

The goal of the research group is to devise computational and statistical approaches to understand the interplay of genotype, cellular factors and external influences and their implications for phenotype. Our research is hypothesis-driven and tailored towards answering pertinent biological questions from high-throughput omics datasets.

We combine statistics with mechanistic modelling concepts to integrate genotype information, molecular profiling data and other phenotypic information. Current research directions include the development of statistical methodology for genome-wide association studies, methods to dissect the genetic architecture of molecular traits and causal modelling to predict functional targets for molecular intervention. These methodological research aims are embedded in close collaborations with experimental groups.

The successful candidate will play a pivotal role in the development and the application of novel analysis approaches developed in the group. His/her role can either have a focus on the statistical development of innovative methodology or the consolidation of proof-of-concept implementations into robust software packages to be shared with the community. It is desired that the candidate will actively engage in experimental collaborations to promote and support the application of methodology developed in a group.


The successful applicant will hold a doctoral degree or equivalent qualification in computer science, mathematics, physics, and/or engineering, or a degree in biological science with demonstrated experience in computational work.

Previous experience of developing computational methods and implementing them in software in a scientific context is expected. Expertise in analysis and integration of multiomics data, statistical interpretation and analysis of next-generation sequencing datasets is very beneficial, as is communicating results in scientific conferences and papers.

We especially seek candidates with prior experience in statistical aspects of systems biology projects, including gene expression data analysis, GWAS and analysis of NGS data. A good foundation in, and previous usage of methods in any of the following fields is advantageous: statistics, machine learning, optimization and dynamical systems. A background in biology, or previous experience tackling biological questions is desirable but not necessary.

Proficiency with a high-level programming language (e.g. C++, Java) and/or appropriate scripting languages, and statistical data analysis tools such as R, MATLAB or Python is required.

The ideal applicant should have demonstrated the ability to work independently and creatively. (S)he should have excellent communication skills and be able to articulate clearly the scientific and technical needs, set clear goals and work within an interdisciplinary setting, communicating with wet-lab and computational partners.

Contact Information: 

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