AI Bioinformatician

Job Description

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

College of Science and Engineering / School of Biological Sciences

Full-time: 35 hours per week

Fixed-term: for 56 months

The Opportunity

We are seeking a Bioinformatician skilled in Artificial Intelligence to join the Bioinformatics Core of the Discovery Research Platform for Hidden Cell Biology (DRP-HCB) at the University of Edinburgh. This post is available for an initial period of three years, with the possibility of extension.

The Discovery Research Platform for Hidden Cell Biology is a seven-year, £9m Wellcome-funded initiative launched in December 2023\. The platform provides a transformative, interdisciplinary research environment to uncover previously hidden aspects of cell biology by integrating advanced experimental, computational, and analytical approaches.

The Bioinformatics Core plays a central role within the platform, providing expert consultation, data analysis, training, and infrastructure to support a wide and diverse user base across the School of Biological Sciences. The core manages large-scale biological datasets and delivers reproducible, cutting-edge analytical solutions spanning genomics, transcriptomics, proteomics, imaging, and multi-omics integration.

This role will provide specialist expertise in artificial intelligence (AI) and machine learning (ML), supporting researchers to apply advanced data-driven approaches to complex biological questions. The post holder will work closely with experimental scientists, other bioinformaticians, and platform staff to develop and deploy robust analytical pipelines, contribute intellectually to research projects, and deliver high-quality training and workshops focused on AI in biology.

The position is ideally suited to a PhD-qualified computational biologist or bioinformatician with a strong interest in applying AI and machine learning methods to biological data, who enjoys collaborative, service-oriented research and enabling others to succeed. More details about the platform can be found here:

https://biology.ed.ac.uk/drp

.

This post is advertised as full-time (35 hours per week). We are open to considering requests for hybrid working (on a non-contractual basis) that combines a mix of remote and regular on-campus work.

Your Skills And Attributes For Success

• PhD in a relevant field with extensive research experience.
• Demonstrable experience applying AI or machine learning techniques to biological datasets.
• Strong programming skills and experience with common ML packages.
• Experience delivering training or user support.
• Ability to work productively with researchers from diverse backgrounds.

For informal enquiries about the role, please contact Shaun Webb ([email protected]).

How To Apply

View the full

job description

Please Include The Following Documents In Your Application

• CV
• Cover letter

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

• Variety every day.
• Responsibility and autonomy.
• 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.

Prior to any employment commencing with the University, you will be required to evidence your right to work in the UK. Further information is available on our

right to work webpages

.

The University may be able to sponsor the employment of international workers in this role. This will depend on a number of factors specific to the successful applicant.

Key dates to note

The closing date for applications is

13 th April 2026\.

Unless stated otherwise the closing time for applications is 11:59pm UK time. If you are applying outside the UK the closing time on our adverts automatically adjusts to your browsers local time zone.

About Us

As a world-leading research-intensive University, we are here to address tomorrow’s greatest challenges. Between now and 2030 we will do that with a values-led approach to teaching, research and innovation, and through the strength of our relationships, both locally and globally.

About The Team

As the modern inheritors of our 400-year-old reputation for excellence, our staff and students contribute to a vibrant academic community whose visions are shaping tomorrow’s world. The School of Biological Sciences is at the leading edge in teaching, research and innovation. Independent rankings such as the Times Higher Education consistently place us amongst the top 25 universities in the world for biological sciences. We aim to ensure that our culture and systems support flexible and family-friendly working and to recognise and value diversity across all our staff and students. The School has an active programme offering support and professional development opportunities for all staff. We place a particular focus on development for early-career researchers (postgraduate and postdoctoral research staff and personal fellowship holders), offering mentoring and an active ‘BioDocSoc’ organisation that brings together researchers for networking, events and training opportunities.

The School of Biological Sciences holds a Silver Athena SWAN award in recognition of our commitment to advance the representation of women in science, mathematics, engineering and technology.

Our website contains more information about the School.