Postdoctoral Research Fellow in Computational Biology

Job Description

Grade UE07: £41,064 – £48,822 per annum

School of Regeneration and Repair / Centre for Inflammation Research

Full-time: 35 hours per week

Fixed-term: 7 months

Together we can do great things. Be part of something bigger.

Join the University of Edinburgh and you’ll be making a difference to everything around you. Be part of something bigger – where you’ll do meaningful work, grow and progress, be rewarded and recognised, and benefit from our strong commitment to your wellbeing. There are so many reasons to join us.

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.

The Opportunity:

We are looking for an enthusiastic and motivated postdoctoral research fellow in bioinformatics, to work on a project using cutting-edge single-cell and spatial transcriptomic approaches to understand the cellular and molecular mechanisms regulating liver fibrosis and to identify novel therapeutic targets for liver disease.

The successful candidate will work with Professor Prakash Ramachandran within the Centre for Inflammation Research at the University of Edinburgh. This 7-month post is funded by an MRC Senior Clinical Fellowship award to Professor Ramachandran. The post-holder will analyse single-cell and spatial transcriptomic data from human liver samples, to dissect cellular, molecular and spatial changes in the fibrotic liver. We anticipate that the combination of these approaches will identify novel approaches to selectively modulate pathogenic cell types as an anti-fibrotic therapy for patients with liver disease.

Your skills and attributes for success:

• Expertise in relevant computational approaches including analysis of single-cell and single-nucleus RNA-seq data
• An understanding of liver disease and/or fibrosis pathobiology
• An ability to work with wet lab scientists to design strategies to validate key findings from computational work
• Critical appraisal and analytical skills for interpreting qualitative and quantitative information
• Good verbal and written communication skills
• Self-motivation, initiative and ability to work both independently and as part of a team

This post is full-time (35 hours per week); however, we are open to considering 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

A career with us has a range of other benefits that can be tailored to your lifestyle:

• Variety every day
• Responsibility and autonomy within a supportive team
• Excellent benefits and support
• Contributing to the work and purpose of the University.

As a valued member of our team, you can expect:

• A competitive salary.

• An exciting, positive, creative, challenging and rewarding place to work.

• To be part of a diverse and vibrant international community.

• Comprehensive Staff Benefits, including generous annual leave entitlement, a defined benefits pension scheme, a wide range of staff discounts, family-friendly initiatives, and flexible work options. Check out the full list on our staff benefits page and use our reward calculator to discover the value of your pay and benefits.

Championing equality, diversity, and inclusion

The University of Edinburgh holds a Silver Athena SWAN award in recognition of our commitment to advance gender equality in higher education. We are members of the Race Equality Charter, and we are also Stonewall Scotland Diversity Champions, actively promoting LGBT equality.

Key dates to note

The closing date for applications is 3rd August 2026.

Unless stated otherwise, the closing time for applications is 11:59 pm (UK time). If you are applying from outside the UK, the closing time shown on our adverts will automatically adjust to your browser’s local time zone.

We anticipate that interviews will be held in late August 2026.