Postdoctoral Research Fellow

Full-time: 35 hours per week

Fixed-term: 2 years contract  

Where discovery never stops. Be part of something bigger.

Roles for every stage of your career

We offer careers and roles in just about every area you can think of. Whether you are looking for entry-level, mid-career or roles at the top of your chosen specialism, we can offer you a career where you can flourish and make a real difference in the communities around us while contributing to the world at large. Our people come from a wide range of backgrounds, each bringing their abilities and experiences to our organisation. 

The Opportunity:

The University of Edinburgh is a world-class organisation. We look for the best in the field across all disciplines and provide a working environment where academics can develop their careers and passion for their chosen subject area. We offer the full range of academic roles and have a genuine focus on our students’ performance and wellbeing.

We are looking for an experienced and highly motivated Postdoctoral Research Fellow with expertise in quantitative genetics to join the Baillie Lab (www.baillielab.net), led by Professor Kenneth Baillie, within the Baillie Gifford Pandemic Science Hub at the Institute for Regeneration and Repair.

The Baillie Lab is an interdisciplinary team of dedicated and highly capable people, focused on using genetics to find new therapies and treatments for critically ill patients. The team has made several contributions that have already improved medical practice. This includes using genetics to find the cause of unknown hepatitis in children (Nature, 2023a; Nature, 2023b) and identifying 49 genetic variants underlying with critical illness in COVID-19 (Nature, 2023; Nature, 2022). 

Your skills and attributes for success: 

• A PhD (or near completion) or equivalent professional qualification and/or experience in the field of genetics, bioinformatics, computational biology
• Strong expertise in performing eQTL analyses and/or integrating large-scale genetic and transcriptomic datasets (e.g., GWAS, RNA-seq)
• Proficiency in programming languages such as R or Python and experience with bioinformatics tools
• Strong planning and organising skills
• Excellent written and verbal communication skills with ability to build rapport with colleagues and collaborators.

This post is full-time (35 hours per week); however, we are open to considering part-time or flexible working patterns. We are also open to considering requests for hybrid working (on a non-contractual basis) that combines a mix of remote and regular on-campus working. 

Closing date: 10 July 2026 at 11:59pm

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