Research Software Engineer

Full-time 35 hours per week

Fixed term: 24 months (funding ends 30^th September 2027)

Research Software Engineer - University of Edinburgh Careers

The Opportunity:

The BiomedicalData Intelligence Hub will support our breadth of research in Artificial Intelligence (AI) for quantitative biology and biomedicine. The Hub will operate as a research and training support unit in partnership with the UKRI Centre for Doctoral Training in Biomedical AI, which currently funds over 40 doctoral students working in medical informatics, biotechnology, drug discovery, medical imaging, and signal processing. The Hub is designed to augment and catalyse the Centre’s ongoing projects with advanced data science skills and compute capabilities.

In this role you will develop, deploy, and maintain software stacks associated with the activities of the Hub. This may involve algorithm implementation, deployment in domain-specific computing platforms, and code refactoring/optimization to achieve highly performant and scalable solutions. You will work collaboratively as part of a team of Data Scientists, with dedicated access to our new GPU server with state-of-the-art compute. As founding member of the Hub you will have ample space to design and implement a fit-for-purpose software and tooling infrastructure.

We are particularly interested in candidates that:

• Wish to apply and grow their skills in brand-new team focused on AI solutions with cutting-edge biological data modalities. 
• Can offer technical mentorship to Centre students, fostering a collaborative, inclusive and supportive environment.
• Cares deeply about well-designed code, good software development practices, and cultivating a code base that is a joy to collaborate in.

The Hub will work on a range of goal-orientated projects with diverse data sources and requirements specified by project owners, and with close interactions with the School of Informatics, the School of Biological Sciences, the Institute for Genetics and Cancer, the Usher Institute for public health, and the NHS. Projects can involve various data modalities, including cellular and genomic data, medical imaging data, neural data, healthcare and patient record data and molecular/structural data.

The Data Intelligence Hub will be located at the School of Informatics, widely recognized as one of the birthplaces of AI and home to some of the latest developments in the field. The role offers multiple opportunities for networking and skills development, for example through co-creation of research projects, or engaging with multi-stakeholder initiatives across the university and beyond. Edinburgh is an exciting European capital, with excellent quality of life and a thriving science, arts, and cultural scene, as well as access to beautiful natural landscapes.

For informal inquiries please email the Centre Director (Diego Oyarzún, d.oyarzun@ed.ac.uk) including a brief statement of interests and CV.

Your skills and attributes for success: 

• Degree in a quantitative subject (e.g. Computer Science, Artificial Intelligence, Statistics)
• Experience in a role involving research software development and engineering.
• Experience working as part of a cross-disciplinary team.
• Fluency in relevant programming languages with experience in writing documentation.
• Excellent written and verbal communication skills including the ability to present technical information and to write structured technical reports.
• Ability to assimilate new ideas and turn them into practical, applied techniques.
• Proven time management skills across competing tasks requiring rapid context switching.

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