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- Tasks: Use AI to tackle complex biological questions and develop analytical pipelines.
- Company: Join the University of Edinburgh's innovative Discovery Research Platform.
- Benefits: Competitive salary, supportive environment, and opportunities for professional growth.
- Other info: Dynamic research environment with a focus on diversity and inclusion.
- Why this job: Make a real impact in biology with cutting-edge AI technology.
- Qualifications: PhD in a relevant field and experience with AI in biological datasets.
The predicted salary is between 41064 - 48822 £ per year.
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. It 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.
Qualifications:
- 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.
Application Details:
For informal enquiries about the role, please contact Shaun Webb.
How To Apply:
Please include the following documents: CV, Cover letter.
Key dates: closing date 13th April 2026 at 11:59 pm UK time.
Equality, Diversity and Inclusion: The University of Edinburgh holds a Silver Athena SWAN award in recognition of its 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, depending on specific factors for the successful applicant.
AI Bioinformatician in Edinburgh employer: The University of Edinburgh
Contact Detail:
The University of Edinburgh Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Bioinformatician in Edinburgh
✨Tip Number 1
Network like a pro! Reach out to people in the field of bioinformatics and AI, especially those connected to the University of Edinburgh. Attend relevant events or webinars to make connections that could lead to job opportunities.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects related to AI and machine learning in biology. This can be a game-changer during interviews, as it gives potential employers a clear view of what you can bring to the table.
✨Tip Number 3
Prepare for the interview by brushing up on common questions related to bioinformatics and AI. We recommend practising your responses with a friend or even in front of a mirror to build confidence and clarity.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, keep an eye on our updates for any new roles that might pop up in the future!
We think you need these skills to ace AI Bioinformatician in Edinburgh
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to highlight your experience in AI and bioinformatics. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or research!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about this role and how your background makes you a perfect fit for our team. Keep it engaging and personal – we love a good story!
Showcase Your Skills: Don’t forget to mention your programming skills and experience with ML packages. We’re looking for someone who can hit the ground running, so highlight any specific tools or languages you’re proficient in.
Apply Through Our Website: We encourage you to apply through our website for a smooth application process. It’s the best way to ensure your application gets into the right hands, and we can’t wait to hear from you!
How to prepare for a job interview at The University of Edinburgh
✨Know Your AI and ML Stuff
Make sure you brush up on your knowledge of artificial intelligence and machine learning techniques, especially as they relate to biological datasets. Be ready to discuss specific projects where you've applied these skills, as this will show your practical experience.
✨Showcase Your Programming Skills
Since strong programming skills are a must for this role, be prepared to talk about the programming languages and ML packages you’re familiar with. Bring examples of how you've used them in past projects, and if possible, demonstrate your problem-solving approach.
✨Prepare for Collaborative Questions
This role involves working closely with researchers from diverse backgrounds. Think about your past experiences in teamwork and collaboration. Be ready to share examples of how you've effectively communicated complex ideas to non-technical colleagues.
✨Highlight Your Training Experience
Since delivering training and user support is part of the job, prepare to discuss any previous experience you have in this area. Share specific examples of workshops or training sessions you've conducted, and how you tailored your approach to meet the needs of your audience.