At a Glance
- Tasks: Lead innovative research in AI and computational biosciences, transforming biological understanding.
- Company: UCL's Division of Biosciences, a hub for cutting-edge research and teaching.
- Benefits: Competitive salary, 41 days holiday, pension scheme, and employee support services.
- Other info: Collaborative environment with excellent career growth and interdisciplinary opportunities.
- Why this job: Join a dynamic team at the forefront of AI-driven biology and make a real impact.
- Qualifications: PhD in relevant fields with a strong research agenda in AI and biology.
The predicted salary is between 54931 - 76244 £ per year.
The Division of Biosciences at UCL is a major centre for research and teaching in the biological sciences, fostering fundamental, innovative research that spans molecules to ecosystems. Within Biosciences, the Research Department of Cell & Developmental Biology (CDB) is internationally recognised for fundamental research into the principles that govern the behaviour and organisation of individual cells during life, growth and development.
CDB combines experimental and computational approaches to study biological processes across scales, from molecular interactions and cellular organisation to tissues, organisms and multicellular systems. Much of our research crosses traditional disciplinary boundaries, bringing together cell biology, developmental biology, biophysics, mathematics, quantitative imaging, modelling and machine learning. Our research is supported by outstanding core facilities, including advanced microscopy and imaging platforms and close links with UCL’s Advanced Research Computing (ARC) Centre.
Educational activity includes a range of undergraduate programmes, an expanding number of Masters Programmes and a substantial number of postgraduate research students. We are recruiting a Lecturer/Assistant Professor or Associate Professor who applies cutting-edge machine learning, artificial intelligence and related computational biology to fundamental biological problems.
Biology is undergoing a profound transformation driven by advances in machine learning, artificial intelligence and computational modelling. Increasingly, the challenge is not simply to generate larger datasets, but to develop predictive and mechanistic understanding of living systems. A long-term ambition for modern biology is to build quantitative models that can explain, predict and eventually anticipate the behaviour of cells, tissues and organisms.
To address this opportunity, CDB seeks to appoint an outstanding academic colleague who will establish an ambitious research and teaching programme applying artificial intelligence, machine learning and computational approaches to fundamental questions in cell and developmental biology. We welcome applicants developing innovative approaches across a broad range of areas, including but not limited to machine learning, generative and foundation models for biology, digital twins, mechanistic and hybrid modelling, statistical inference, or AI-enabled experimental design. We are particularly interested in candidates whose work tightly integrates computational and experimental biology, while also welcoming researchers developing novel computational methods with broad biological applicability.
The successful candidate will establish or grow an independent, internationally competitive and collaborative research programme within CDB. They will work closely with colleagues across Biosciences and the wider university, including researchers in computer science, mathematics, engineering, health and UCL’s growing AI ecosystem.
The post holder will be expected to secure competitive research funding, supervise and mentor postgraduate researchers, and take a full part in research-led teaching across undergraduate and postgraduate programmes. They will also contribute to strategic leadership in computational and AI-driven biology across CDB and UCL.
About you: You will have a PhD or equivalent qualification in computational biology, quantitative biology, computer science, applied mathematics, biophysics, engineering, statistics or a related discipline, together with an innovative research agenda that seeks to apply artificial intelligence and computational approaches to fundamental biological questions. You will have an established track record (Grade 9) or clear potential (Grade 8) to develop an internationally recognised research programme, attract competitive external funding and contribute to interdisciplinary collaborations. You will also have experience of, or a strong commitment to, research-led teaching at undergraduate and/or postgraduate level.
You will demonstrate the ability to work across disciplinary boundaries and to translate advances in computation, machine learning and AI into new biological understanding. We particularly welcome applicants who will actively engage with colleagues across CDB and neighbouring departments specifically the Research Department of Structural and Molecular Biology and the Laboratory for Molecular Cell Biology. The expectation is to develop new interdisciplinary approaches to fundamental biological problems, and to contribute to an ambitious and collaborative academic environment.
What we offer: As well as the exciting opportunities this role presents, we also offer some great benefits including a Grade 8-9 salary of £54,931 - £76,244 inclusive of London allowance, 41 days holiday (27 days annual leave, 8 bank holidays and 6 closure days), additional 5 days’ annual leave purchase scheme, defined benefit career average revalued earnings pension scheme (CARE), cycle to work scheme and season ticket loan, enhanced maternity, paternity and adoption pay, and an employee assistance programme: Staff Support Service.
Our commitment to Equality, Diversity, and Inclusion: As London’s Global University, we know that diversity and inclusion are fundamental drivers of creativity, innovation, and excellence, and we want our community to represent the diversity of the world's talent. We are committed to equality of opportunity, to being fair and inclusive, and to being a place where we all belong, thrive, and reach our full potential. We therefore particularly encourage applications from candidates who are likely to be underrepresented in UCL’s workforce. These include people from Black, Asian, and ethnic minority backgrounds; disabled people; and for our Grade 9 and 10 roles, women.
Lecturer/Associate Professor in Artificial Intelligence and Computational Biosciences employer: UK Dementia Research Institute
At the UCL Institute for Materials Discovery, we pride ourselves on being an exceptional employer that fosters a collaborative and innovative work culture. Our commitment to employee growth is evident through ample networking opportunities with leading experts in academia and industry, as well as our generous benefits package, including 41 days of holiday and a defined benefit pension scheme. Join us in our mission to advance materials research and make a meaningful impact in the field of biosensing technology, all while enjoying the vibrant atmosphere of London.
Contact Details:
UK Dementia Research Institute Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Lecturer/Associate Professor in Artificial Intelligence and Computational Biosciences
✨Get Involved in Local Research Communities
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We think you need these skills to ace Lecturer/Associate Professor in Artificial Intelligence and Computational Biosciences
Some tips for your application 🫡
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How to prepare for a job interview at UK Dementia Research Institute
✨Brush Up on Lab Techniques
Since you're eyeing a full-time gig in biotechnology, make sure you're well-versed in the lab techniques relevant to the role. Be ready to talk about PCR, CRISPR, or any specific methods mentioned in the job description at UK Dementia Research Institute. You might even be asked to demonstrate your understanding of these processes.
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Get comfortable with bioinformatics tools that are commonly used in the industry, like BLAST or Bioconductor. These are key in biotechnology, and having hands-on experience or at least familiarity can set you apart. Prepare to discuss any relevant projects you've worked on, especially if they involved data analysis or genomic research.
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