Biomedical jobs in Sheffield

The University of Sheffield is a remarkable place to work. Our people are at the heart of everything we do. Their diverse backgrounds, abilities and beliefs make Sheffield a world-class university.

We offer a fantastic range of benefits including a highly competitive annual leave entitlement (with the ability to purchase more), a generous pensions scheme, flexible working opportunities, a commitment to your development and wellbeing, a wide range of retail discounts, and much more.

• Develop findable, accessible, interoperable, and reusable (FAIR) multimodal AI software, tools, and workflows to support multiple interdisciplinary cancer risk prediction projects across CD3 driver programmes and institutions.
• Build, deploy, and maintain multimodal AI prototypes and models using frameworks such as PyTorch, ensuring reproducibility and robustness.
• Build, maintain and enhance multimodal cancer risk prediction infrastructure, including open-source repositories, documentation platforms, and benchmarking leaderboards on mainstream platforms such as GitHub or Hugging Face.
• Work closely with other CD3 teams to advise on multimodal AI approaches, data integration, and evaluation protocols, ensuring alignment with open research principles and a deployment-centric focus.
• Contribute to the implementation of baseline multimodal AI models and evaluation protocols for multimodal cancer risk prediction benchmarks.
• Collaborate with other CD3 teams to gather requirements, address technical challenges, and ensure practical, real-world relevance of outputs.
• Disseminate research outcomes through multiple channels, including software packaging and release, technical documentation, contributions to academic papers, conference presentations, tutorials, and other training materials.
• As a member of staff, make ethical decisions in your role and embed the University’s sustainability strategy into your work wherever possible.
• Contribute to equality, diversity and inclusion through fostering an inclusive culture in CD3 and participating in initiatives and activities to enable this.
• Carry out other duties commensurate with the grade and remit of the post.

• Design multimodal learning software architecture and prototypes.
• Lead the writing of high-quality papers/reports on multimodal AI for cancer risk prediction and other ways of disseminating research outcomes.
• Lead multimodal AI training and interactions with collaborators and partners.
• Organise project meetings with stakeholders and manage follow-up actions.

• A minimum of 38 days' annual leave (41 for Senior AI Research Engineer), including bank holiday and closure days (pro rata) with the ability to purchase more.
• Flexible working opportunities, including hybrid working for some roles.
• Generous pension scheme.
• A wide range of discounts and rewards on shopping, eating out and travel.
• A variety of staff networks, providing opportunities for social interaction, peer support and personal development (for example, Race Equality, LGBT+, Women’s and Parent’s networks).
• Recognition Awards to reward staff who go above and beyond in their role.
• A commitment to your development access to learning and mentoring schemes.
• A range of generous family-friendly policies
  • paid time off for parenting and caring emergencies
  • support for those going through the menopause
  • paid time off and support for fertility treatment
  • and more

We are a research university with a global reputation for excellence. Our ideas and expertise change the world for the better, making a real difference to society. We know that when people come together with different views, approaches and insights it can lead to richer, more creative and innovative teaching and research and the highest levels of student experience. Our University Vision (www.sheffield.ac.uk/vision) outlines our commitment to building a diverse community of staff and students that recognises and values the abilities, backgrounds, beliefs and ways of living for everyone.