Genomics plc
Job Location
King Charles House
Park End Street
United Kingdom
  • The opportunity to work in an ambitious young company - alongside highly talented colleagues - that combines cutting-edge research with commercial delivery
  • Unprecedented access to data – the chance to work with one of the largest and fastest-growing genome-phenotype databases in the world
  • Varied challenges targeted at real problems such as those faced by the pharma industry, where use of novel tools and approaches will radically change the efficiency of drug development
  • The chance to contribute to work that will have a direct impact on people and disease treatment
  • The opportunity to use hack time for blue sky projects and research
  • A competitive salary, with pension, private healthcare and other benefits
  • Share options in Genomics plc.
Job Description

We are now seeking statistical geneticists to join our team to design and implement novel approaches to making inferences from large-scale data.   The focus of the company is to use genomic data to understand human biology. These positions offer the opportunity to work with leading scientists, an integrated data resource that is unrivalled in the field, and a talented technical team, to deliver cutting-edge science in genome analytics. There are open positions suitable for individuals who have recently completed, or are due to complete, their PhDs, as well as for existing postdoctoral fellows or existing PIs.


You should have:

  • A strong quantitative background, preferably in statistics, and with experience in genetics or genomics.
  • Proven experience of analyzing genome-wide genetic variation in the context of understanding human biology and disease.
  • The ability to summarize and visualize complex datasets to look for patterns of association, or potential biases, through detailed analysis.  
  • Experience in applying standard statistical approaches, and in contributing to the development of novel computational tools.
  • You will be able to discuss and explain complex ideas to both specialists and non-specialists.


The expectation for relevant experience in these areas will vary with the seniority of the role, and we would consider strong statistical candidates interested in moving into genetics applications from other areas of data science.  Given the sensitive nature of data used in Genomics plc you will be expected, as with all other employees, to ensure high standards of information security in your work. If you enjoy thinking creatively about challenging problems in an applied clinical and research setting, this job is for you.

How to Apply

Please apply with a CV and cover letter addressing the above criteria to [email protected]

Genomics plc welcomes applications from all candidates irrespective of age, disability, gender, gender identity, sexual orientation, race, religion or belief, or marital or civil partnership status.

About Our Organization

Genomics plc is an ambitious genome analytics business formed in March 2014 by four leading scientists at the University of Oxford, including Peter Donnelly (Director of the Wellcome Trust Centre for Human Genetics) and Gil McVean (Director of the Big Data Institute). There will be an explosion in human genomic data linked to health and other outcomes and the Company’s vision is to bring together these data and develop sophisticated analytical methods for their interpretation in various scientific contexts. We have already developed the largest genotype-phenotype database of its kind in the world (comprising over 700 studies, almost 3 million participants and 500 unique phenotypes), together with functional genomic data.  Collaborations in the health sector include four leading pharmaceutical companies. We are also the Analysis Partner for Genomics England's GENE Consortium (a group of large commercial companies looking to use the data from the 100,000 Genomes Project to develop new diagnostics and treatments). Backed by some of the leading investors in life sciences, Genomics plc now has a cross-disciplinary team of over 30 people, primarily scientists and software engineers, based in central Oxford.

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