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For Companies At a Glance
- Tasks: Teach and mentor future biomedical data scientists while conducting impactful research.
- Company: Join The University of Salford, a dynamic and collaborative environment.
- Benefits: Competitive salary, excellent pension, flexible working, and a sense of community.
- Why this job: Make a real difference in global health through innovative teaching and research.
- Qualifications: Expertise in applied AI and biomedical data with a passion for education.
- Other info: Be part of one of the UK's fastest-growing universities with diverse opportunities.
The predicted salary is between 47389 - 56536 £ per year.
Lecturer in Applied AI and Biomedical Data
Join to apply for the Lecturer in Applied AI and Biomedical Data role at The University of Salford
Based in the Biomedicine Subject Area, within our Human and Natural Sciences (HANS) Directorate, and embedded in the Biomedical Research and Innovation Centre (BRIC), this role is your opportunity to deliver high-impact research and research-led teaching in a field that is transforming global health. You’ll teach and mentor the next generation of biomedical data scientists across award-winning undergraduate and postgraduate programmes—many of which are IBMS and RSB accredited—and contribute to a rapidly growing and highly collaborative research environment.
Key Responsibilities
- Design and deliver teaching material across a range of modules within the subject area, including broader teaching as required.
- Identify areas where current provision is in need of revision or enhancement with particular focus on integration of data science.
- Undertake individual or collaborative research projects of relevance to the School and University.
- Identify external sources of funding and develop or contribute to funding bids – research, knowledge transfer and engagement grant applications.
- Take a lead in own area of expertise, advocate for data literacy.
Benefits
- Competitive salary – and excellent pension scheme.
- Flexible working – we support a culture of flexible and agile working to help you find the right balance.
- Recent REF results reflect our world-leading impact, with outstanding performance in originality and significance.
- Join a dynamic, collaborative research centre tackling critical health challenges—accounting for 16% of the University\’s total research income.
- Our community – there\’s a real sense of belonging here at Salford. We value diversity, in backgrounds and in experiences. Our difference makes us stronger, and together we share a passion for improving students\’ lives.
- Team Salford – join us here in Salford and be part of one of the UK\’s fastest growing universities.
- A rewarding career – where everything you do will make a difference. To our students, our local community, and the world around you.
Details
Location: Salford, United Kingdom
Salary: £47,389 – £56,536 per annum
Contract: Full-time Permanent
Application Deadline: 12 November 2025 11:55 PM
Job ID: 378
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Lecturer in Applied AI and Biomedical Data employer: The University Of Salford
Contact Detail:
The University Of Salford Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lecturer in Applied AI and Biomedical Data
✨Tip Number 1
Network like a pro! Reach out to current lecturers or researchers in the field of Applied AI and Biomedical Data. A friendly chat can give you insights into the role and might even lead to a referral.
✨Tip Number 2
Show off your passion for teaching! Prepare a mini-lecture or presentation on a relevant topic. This not only showcases your expertise but also demonstrates your teaching style and enthusiasm.
✨Tip Number 3
Get involved in discussions about current trends in biomedical data science. Join forums, attend webinars, or participate in local meetups. This keeps you updated and shows your commitment to the field.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets the attention it deserves. Plus, we love seeing candidates who are proactive about their applications.
We think you need these skills to ace Lecturer in Applied AI and Biomedical Data
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Lecturer in Applied AI and Biomedical Data role. Highlight your relevant experience and skills that align with the job description, especially in teaching and research.
Showcase Your Passion: Let your enthusiasm for biomedical data science shine through! Share specific examples of how you've contributed to this field, whether through teaching, research, or community engagement. We love seeing candidates who are genuinely excited about their work.
Be Clear and Concise: When writing your application, keep it straightforward and to the point. Use clear language and avoid jargon unless it's necessary. We appreciate a well-structured application that makes it easy for us to see your qualifications.
Apply Through Our Website: Don’t forget to submit your application through our official website. It’s the best way to ensure your application gets to us directly and is considered promptly. Plus, you’ll find all the details you need right there!
How to prepare for a job interview at The University Of Salford
✨Know Your Stuff
Make sure you’re well-versed in the latest trends and technologies in applied AI and biomedical data. Brush up on your knowledge of data science integration in teaching, as well as any recent research breakthroughs in the field. This will not only show your expertise but also your passion for the subject.
✨Showcase Your Teaching Style
Prepare to discuss your teaching philosophy and methods. Think about how you can engage students in both undergraduate and postgraduate programmes. Bring examples of teaching materials or innovative approaches you've used in the past to demonstrate your ability to deliver high-impact education.
✨Research and Funding Insights
Be ready to talk about your previous research projects and how they align with the university's goals. Highlight any experience you have with securing funding or writing grant applications, as this is a key responsibility of the role. Show that you can contribute to the collaborative research environment at Salford.
✨Emphasise Collaboration and Diversity
The University values diversity and collaboration, so be prepared to discuss how you’ve worked effectively in teams and contributed to a diverse environment. Share experiences where you’ve advocated for data literacy or engaged with different communities, as this aligns with their mission to improve lives.
