Genetics Analyst in Rare Diseases Genomics, NIHR BioResource for Translational Research

Do you have great IT and analytical skills? Interested in a role aiming to improve lives? Looking for your next challenge?

We are recruiting a statistical geneticist in Rare Diseases Genomics who can lead statistical genetics analyses for rare diseases, including epigenetics. The postholder ideally will already have experience in statistical genetics, rare or complex disorder genetics and show a keen interest in translational research. The post will work closely with the rare disease NIHR BioResource lead and contributing PIs.

About NIHR BioResource:

Our mission is to facilitate human health research and its transformation into medical practice.

NIHR BioResource is a unique and powerful resource for studying disease mechanisms and for investigating the links between genes, the environment, health and disease, enabling scientific discoveries as well as facilitating translational medicine for the benefit of patients.

Further details on the NIHR BioResource, including some of our COVID-19 research studies, can be found on our website https://bioresource.nihr.ac.uk .

About the job:

This is an exciting position that will play a vital role in leading rare disease genetics research in one of the UK's largest long read sequencing projects, using samples and data from the NIHR BioResource.

The postholder will hold a relevant PhD in statistical genetics or bioinformatics, and experience in the generation or analysis of high-throughput genetic and genomic data and bioinformatics. Optimally, this will include genome wide association studies, and/or exome or whole genome sequencing analyses. Alternatively, you will have experience in large scale biomarker informatics.

The role will require good skills in statistical analysis, machine learning, preferably in R and/or python, and LINUX/bash. You will be able to work independently, to maintain excellent relationships with our collaborators. High quality written communication and presentation skills are essential.

About you:

Ideally you will have:

• Statistical genetics and/or Bioinformatics skills
• Good all-round IT and database skills and familiarity with LINUX/UNIX environments
• Ability to take initiative and generate results
• Excellent organisational, communication, interpersonal and administrative skills

What we offer:

The University offers a wide range of benefits including flexible working, family friendly policies, an attractive pension scheme (employer's contribution is up to 14.5%) and 41 days' annual holiday (inclusive of public holidays). We encourage career development by providing extensive training & development opportunities.

This appointment is full-time, 37 hours per week; part-time to 80% will be considered. Work life balance is important, and we are open to discussion on flexible working, including hybrid working.

Our offices are on the Cambridge Biomedical Campus CB2 0QQ (approximately 2 miles south of the city centre).

See the Further Information link below for full details and Person Specification.

This appointment requires a Research Passport application.

We encourage informal queries about the job or the application process - please contact Chloe Caley-Light, Senior Business Administrator, [email protected] .

The post is available on a fixed-term basis until 31 March 2026 in the first instance. NIHR BioResource is funded by the National Institute for Health & Care Research (NIHR) on a 5-year funding cycle. It was announced last year that NIHR BioResource will receive new funding over the next 5 years.

Please include details of your referees, including email address and phone number, one of which must be your most recent line manager.

The University actively supports equality, diversity and inclusion and encourages applications from all sections of society.