Post-Doctoral Researcher: Statistical Genomics and Machine Learning

The University of Oxford is a stimulating work environment, which enjoys an international reputation as a world-class centre of excellence. Our research plays a key role in tackling many global challenges, from reducing our carbon emissions to developing vaccines during a pandemic.

The Department of Psychiatry is based on the Warneford Hospital site in Oxford – a friendly, welcoming place of work with an international reputation for excellence. The Department has a substantial research programme, with major funding from Medical Research Council (MRC), Wellcome Trust and National Institute for Health Research (NIHR) and provides highly rated medical training in psychiatry.  The Head of Department is Professor Belinda Lennox.

We are seeking a highly motivated individual to join the Bioinformatics  team, working on cutting-edge research in the field of genomics.   Reporting to Dr  Laura Winchester and Professor Alejo Nevado-Holgado you will be joining a dynamic interdisciplinary team of clinicians, bioinformaticians and AI/NN experts and will be encouraged to interact widely with this group and with the other scientists across the Department of Psychiatry, the Big Data Institute, the Kavli Institute for Nanoscience Discovery and the wider university.

What We Offer

As an employer, we genuinely care about our employees’ wellbeing and this is reflected in the range of benefits that we offer including:

• An excellent contributory pension scheme
• 38 days annual leave
• A comprehensive range of childcare services
• Family leave schemes
• Cycle loan scheme
• Discounted bus travel and Season Ticket travel loans
• Membership to a variety of social and sports clubs
• This role also offers the opportunity for hybrid working (2-3 days per week)

About the Role

The post is funded until 29 February 2028 with the possibility of an extension and is based in the Department of Psychiatry at the Warneford Hospital.   

You will have the opportunity to work on projects that leverage the latest advancements in statistical modelling to understand and analyse complex genomic data from Alzheimer’s and Parkinson’s disease. This will include responsibility for carrying out research in statistical genomics, genetic epidemiology and machine learning. This will involve implementing integrative multi-omics analysis frameworks to identify proteomic biomarkers of disease risk and progression and detailed analysis of large-scale proteomics cohorts with reference to clinical outcomes in the field of neurodegeneration.

About You

You will hold a Master’s in a relevant subject area, for example, statistics relating to medical sciences or focused on bioinformatics, genetic epidemiology or machine learning.  Strong scientific computing skills for data analysis and coding such as the use of R, python or STATA are essential, as is experience with genomics data and bioinformatics tools as well as experience in machine learning and its application to biomedical datasets. A PhD in a relevant subject area (awarded or be close to completion) would be desirable as would experience of working on Trusted Research Environments (TRE).

Diversity

Committed to equality and valuing diversity

Our active Psychiatry People and Culture teams  and initiatives work to make the Department of Psychiatry as supportive, welcoming and inclusive as possible.

Application Process

You will be required to upload a covering letter/supporting statement, CV and the details of two referees as part of your online application.

The closing date for applications is midday on 10 January 2025.

Advert information