Senior Lecturer​/Lecturer in Computational Biology; Research & Teaching Track

We invite applications from Computational Biologists to complement and enhance the existing strengths of the Centre for Immunobiology and the School of Infection and Immunity at the University of Glasgow. Applicants keen to integrate machine-driven approaches into biomedical research are encouraged. You will strengthen the School’s research areas by analysing high-dimensional, multimodal datasets and developing computational frameworks to unlock insights into immune system function and infectious diseases.

The University of Glasgow is a proud member of the UK's Russell Group of Universities and a global leader in research. The School of Infection and Immunity is driving innovation in immunology, parasitology and infectious disease, a combined approach that is transforming our understanding of health and disease, with breakthroughs that have shaped responses to global challenges such as the COVID-19 pandemic.

At the Centre for Immunobiology we explore the cellular and molecular mechanisms that govern immune responses in infectious and inflammatory diseases and contribute to their resolution. Our mission is to understand immune system complexity and translate discoveries into real-world impact.

Modern immunology is powered by large‑scale, multimodal experiments — combining spatial biology, single‑cell transcriptomics, proteomics, cytometry and imaging — that capture the dynamic architecture of the immune system in unprecedented detail. An explosion of rich and complex datasets from our research in mucosal and musculoskeletal immunology, immune regulation, chemokine, and cytokine biology are ripe for computational innovation. If you’re passionate about computational biology, machine learning, and related AI approaches, this is your chance to work at the intersection of data science, pathogen‑research and immunology, tackling questions that matter for global health.

The position is equivalent to US tenure track Assistant or Associate Professor.

• Lead the development of an independent research programme focused on novel analytical methods, including machine learning/AI models, for complex biological datasets underlying disease systems.
• Collaborate with world‑class immunologists and computational scientists across the University, developing computational and machine learning/AI methods.
• Contribute to teaching, assessment, project supervision and curriculum design at undergraduate and postgraduate levels; and participate in School management and organisation.
• For appointment at Reader you will have an outstanding track record of international distinction and research leadership, including publications, income, and awards.
• For appointment at Grade 8 (Lecturer) develop, lead and sustain research and scholarship of international standard and contribute to the delivery of an excellent student experience by delivering, organising and reviewing agreed teaching, assessment and administration processes to enhance learning and teaching in the School of Infection and Immunity.
• For appointment at Grade 9 (Senior Lecturer) make a substantial and positive contribution to the strategic direction of the School/College through leading and contributing to world‑changing and internationally competitive research, high quality teaching at both undergraduate and postgraduate level, securing research funding, and providing academic leadership and management within the School/College. Actively engage in relationships with external stakeholders that advance knowledge exchange, public understanding and outreach.