The University of Edinburgh
Postdoctoral Research Fellow
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Postdoctoral Research Fellow
Postdoctoral Research Fellow in Quantitative Genetics
Horizon relocatable grant, UE07 grade (£41,064–£48,822 per annum) | Full-time (35 hrs/week) | Fixed-term (2-year contract)
About the Role
We are seeking 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 (School of Regeneration and Repair, Centre for Inflammation Research).
The lab utilises genetics to identify novel therapies and treatments for critically ill patients, with groundbreaking contributions such as:
- Discovery of the genetic cause of unknown hepatitis in children (Nature, 2023a; Nature, 2023b).
- Identification of 49 genetic variants linked to critical COVID-19 illness (Nature, 2023; Nature, 2022).
Join a collaborative, interdisciplinary team contributing to real-world medical advancements.
Key Responsibilities
- Conduct cutting-edge research in genetics, bioinformatics, and computational biology, focusing on eQTL analyses and integration of large-scale datasets (e.g., GWAS, RNA-seq).
- Develop and implement quantitative genetic methods to advance treatments for severe disease.
- Collaborate with clinical and research partners to translate findings into therapeutic solutions.
- Present research findings at conferences and publish in high-impact journals.
- Contribute to lab operations, including supervising junior researchers where relevant.
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Requirements & Qualifications
Essential Criteria
- A completed or near-completion PhD, or equivalent professional experience, in genetics, bioinformatics, or computational biology.
- Specialised knowledge in eQTL analyses and expertise with high-throughput genetic/transcriptomic datasets (e.g., GWAS, RNA-seq).
- Proficiency in programming (R or Python) and bioinformatics tools.
- Excellent organisational skills for project planning, data analysis, and publishing.
- Strong communication skills, able to interact effectively with multidisciplinary teams and external collaborators.
Desired
- Familiarity with large-scale Mendelian randomisation or gene-sets approaches.
- Experience working with clinical datasets or in a pandemic/epidemiological research context.
- Knowledge of genetic risk prediction models.
Contract & Working Context
- Full-time (35 hrs/week); part-time and flexible/hybrid working arrangements (non-contractual) may be considered.
- Fixed-term: 2 years (possibly extendable based on funding).
- Location: University of Edinburgh, School of Regeneration and Repair (hybrid options may be negotiated).
International applicants: The University can sponsor Skilled Worker visas. Full details here.
Why Join Us?
- Work in a world-class research environment at the University of Edinburgh, home to leading institutes like the Institute for Regeneration and Repair.
- Be part of a collaborative scientific community across regenerative medicine, inflammation research, and pandemic science.
- Competitive salary, generous staff benefits, and a hybrid-work supportive culture.
- Career development opportunities in an institution ranked among the top 30 globally (QS World University Rankings).
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Benefits
- Flexible working options, family-friendly policies, and desk by your door discounts.
- OfS pension scheme and 30+ days annual leave (pro rata for part-time).
- Part of a diverse, globally connected community committed to equality, diversity, and inclusion.
- Access to the Science, Innovation & Enterprise network for entrepreneurial opportunities.
Eligibility & Inclusion
- We ACTIVELY ENCOURAGE applications from women, Black, Asian and Minority Ethnic (BAME) candidates, and those from disadvantaged backgrounds.
- The University holds an Athena SWAN Silver award and is an EDI-focused employer, ensuring equitable opportunities for all.
Application Process
Closing date: 10 July 2026
How to Apply Submit:
- A one-page cover letter/statement outlining how you meet the essential criteria.
- A curriculum vitae (CV). Combine both into a single PDF or Word document.
Interviews: Expected 2–3 weeks after the closing date.
View the full job description.
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