Statistical Genetics Analyst

Wellcome Trust Sanger Institute - Biological Sciences

We are looking for an intelligent and motivated individual to join the Hurles group at the Wellcome Trust Sanger Institute, to develop, implement and apply statistical genetics methods and analyses required for large-scale research studies of rare genetic diseases.

Now is an extremely exciting time for the study of human genetic variation. The Wellcome Trust Sanger Institute (WTSI) is a world leader in large-scale human genetics and computational genomics.

The successful applicant will join Matt Hurles's group at the Sanger Institute, which includes laboratory scientists as well as bioinformaticians and statistical geneticists. Our current focus is on harnessing the latest sequencing technologies, such as exome and genome sequencing, to identify novel disease-causing variants and model these diseases in cellular and animal models. Our rare disease research focuses on developmental disorders, either identified prenatally (by ultrasound), or postnatally (through pediatric cardiology and clinical genetics).

This role is to develop and apply novel analytical tools to identify disease-causing variation within large exome and genome sequencing datasets of families with severe, undiagnosed developmental disorders. This research leverages our large genome-wide sequencing datasets generated as part of the PAGE ( and DDD ( studies, which are nationwide collaborations with the UK National Health Service. The successful applicant will drive their own projects as well as supporting other more junior members of the group. 

Applicants should have a background in Statistical Genetics or Computational Genomics, with a track record in analysis of sequence data. Strong data analytical skills are essential. Experience with population genetics, transcriptomic analysis and/or machine learning would be desirable.

We are seeking creative, highly-motivated and productive individuals. Our work is highly collaborative and collegial. 

Essential Skills

  • PhD (or equivalent) level of experience
  • Extensive experience with next-generation sequence data analysis
  • Statistical knowledge and experience with R programming language
  • Strong background in computer programming
  • Ability to present research to both geneticists and non-specialists
  • Excellent communication skills
  • Ability to work independently 

Ideal Skills

  • Experience with Python
  • Previous experience in human disease genetics analysis
  • Previous experience in population genetics analysis
  • Experience at analysing genome-wide association and imputed genotype data
  • Experience in analysis  of RNA-seq datasets
  • Strong scientific publication record

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 disease. 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.

Please include a covering letter and CV with your application.  

Applications will be considered and reviewed on an on-going basis and therefore the post may be filled before the deadline.

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South East England