Genetic Analyst in Long Read Sequencing, NIHR BioResource for Translational Research (Fixed Term)

Do you have great IT and analytical skills? Interested in a role which is contributing to changing lives for the better? Looking for your next challenge?

We are recruiting a statistical geneticist to perform statistical genomic and epigenomic analyses for our population scale long read sequencing project encompassing three distinct themes: rare diseases, eating disorders, and cognition. The postholder will ideally have experience in statistical genetics, rare and/or complex disorder genetics, and long read sequencing.

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 research in one of the UK's largest long read sequencing of rare and common diseases 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 large-scale high-throughput genomic data sets. 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 and 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 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 Further Information for full details and the Person Specification - click the 'Apply' button above. 

Fixed-term: The funds for this post are available until 31 March 2028 in the first instance. NIHR BioResource is funded by the National Institute for Health & Care Research (NIHR) on a 5-year funding cycle

Please ensure that you upload a covering letter and CV in the Upload section of the online application. The covering letter should outline how you match the criteria for the post and why you are applying for this role. If you upload any additional documents which have not been requested, we will not be able to consider these as part of your application.

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.

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