Senior Data Scientist Uk Visa Sponsorship

Human Resource
Uk
April 18, 2025
£50 - £61 / year
Full Time
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Job Description

Senior Biomedical Data Scientist
School of Informatics – University of Edinburgh
Grade UE08: £49,559–£60,907 per annum
Full-time (35 hours/week)
Fixed term for 24 months (until 30th September 2027)
Closing Date: 7 May 2025, 11:59pm GMT

The School of Informatics at the University of Edinburgh is seeking an experienced and motivated Senior Biomedical Data Scientist to join and help shape our newly established Biomedical Data Intelligence Hub.

About the Role

The Biomedical Data Intelligence Hub is a new initiative designed to support and accelerate research in Artificial Intelligence (AI) for quantitative biology and biomedicine. The Hub will serve as a central resource for advanced data science expertise, complementing the work of the UKRI Centre for Doctoral Training in Biomedical AI, which currently supports over 40 PhD students across areas such as medical imaging, signal processing, medical informatics, drug discovery, and biotechnology.

As a founding member of the Hub, you will play a key role in shaping its direction and strategy. You will lead the development of data solutions alongside a team of Data Scientists and a Software Engineer, leveraging cutting-edge machine learning, AI techniques, and a high-performance GPU server. A major responsibility will be managing and prioritising projects and resources across the Hub, working closely with the Centre Director.

What We’re Looking For

We welcome candidates with a background in academia or industry who:

  • Have practical experience delivering impactful outcomes using a variety of computational methods
  • Are excited by the opportunity to grow leadership skills in a newly formed, high-impact team
  • Enjoy turning scientific questions into actionable, AI-driven methodologies
  • Foster a collaborative, inclusive work culture and support team development
  • Take pride in creating efficient models, algorithms, and data pipelines

Projects & Collaborations

The Hub will support a diverse portfolio of goal-driven projects, using data from a variety of biomedical domains, including:

  • Genomic and cellular data
  • Medical imaging
  • Neural and physiological signals
  • Electronic health records
  • Molecular and structural biology

You’ll work closely with groups across the University, including the School of Biological Sciences, Institute for Genetics and Cancer, Usher Institute, and NHS collaborators.

The Ideal Candidate Will Have

  • A degree in a relevant field (e.g., Data Science, AI, Mathematics, Biomedical Sciences, Statistics)
  • Proven experience in data science, including structuring, visualising, and analysing data, and developing statistical or machine learning tools
  • Leadership experience in managing teams or coordinating multiple projects
  • Proficiency in programming languages such as Python (NumPy/pandas), R, or Julia
  • Strong communication skills with experience engaging cross-disciplinary teams and stakeholders
  • Excellent organisational and time-management skills in fast-paced environments

Working at the University of Edinburgh

As a valued team member, you’ll benefit from:

  • A competitive salary and pension scheme
  • 26+ days annual leave plus public holidays
  • Family-friendly policies, staff discounts, and wellbeing support
  • A creative, collaborative, and inclusive work environment
  • Access to vibrant scientific, cultural, and outdoor life in Edinburgh

Equality, Diversity & Inclusion

The University of Edinburgh is proud to hold a Silver Athena SWAN Award, and we are committed to advancing equality for all. We are members of the Race Equality Charter and Stonewall Scotland Diversity Champions, actively supporting the LGBT+ community.

Additional Information

  • You must have the right to work in the UK or be eligible for sponsorship.
  • We can sponsor international candidates for a Skilled Worker visa.
  • You must meet the UK Home Office’s English language requirements.

How to Apply

To apply, please submit:

  • Your CV
  • A cover letter outlining your interest in the role and relevant experience

For informal enquiries, contact Centre Director Dr Diego Oyarzún at d.oyarzun@ed.ac.uk, including a brief statement of interest.

Join us and help define the future of AI in biomedicine.

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