Are you passionate about using computer science to understand biology? The Stegle research group at the European Bioinformatics Institute (EMBL-EBI) is looking for an experienced Scientific Programmer and Statistician to join their growing team. The Stegle group explores how genetic background and environment contribute to health and disease.
EMBL-EBI, the UK site of the European Molecular Biology Laboratory (EMBL), has been a global leader in computational biology research since its inception in 1994. Located on the Wellcome Genome Campus, we are at the centre of one of the highest concentrations of technical and scientific expertise in the world. Our research spans fundamental methods in sequence analysis, multi-dimensional statistical analysis and data-driven biological discovery, from plant biology to mammalian development and disease. We are highly collaborative and interdisciplinary, regularly publishing high-impact works on sequence and structural alignment, genome analysis, basic biological breakthroughs, algorithms and methods of widespread importance.
As a Scientific Programmer and Statistician, you would lead the development of scientific software developed by the Stegle group. One important area of work is the further development of LIMIX, a flexible software suite for genetic modelling. LIMIX has broad applications, and is used in quantitative genetics, cancer genomics and single-cell biology. It is central to achieving the aims of the EU-funded PanCanRisk project (http://www.pancanrisk.eu), and will be interlinked with other group activities, such as our projects in the Centre for Therapeutic Target Validation (https://www.targetvalidation.org) and the UK Human Pluripotent Stem Cell Initiative (http://www.hipsci.org).
Your specific goals and tasks would be to:
- Develop and implement advanced statistical genetics algorithms, in particular in the area of rare variant association tests and multiple phenotype association tests
- Develop an efficient, flexible linear algebra backend within the LIMIX software suite
Implement cloud-enabling features in LIMIX and Docker environments to enable parallelised high-throughput analyses.