Senior Lecturer/Lecturer in Computational Biology (Research & Teaching Track)
Senior Lecturer/Lecturer in Computational Biology (Research & Teaching Track)
- Posted 19 January 2026
- Salary Grade 8/9: £50,253 - £58,225/£59,966 - £67,468 per annum
- LocationGlasgow
- Job Type Research and Teaching
- Reference189353
- Expiry 16 February 2026 at 23:45
Job description
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 https://www.gla.ac.uk/schools/infectionimmunity/ 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 (https://www.gla.ac.uk/research/az/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.
Why This Role Is Unique
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.
Job Purpose
The postholder will:
* 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):
To 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):
To 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. To actively engage in relationships with external stakeholders that advance knowledge exchange, public understanding and outreach.
Main Duties and Responsibilities
Perform the following range of activities:
1. Develop, lead and sustain personal and group research in Computational Biology aligned appropriately to the Centre and School research strategy.
2. Enhance your research profile, reputation and esteem through:
- Establishing and sustaining a track record of independent and joint publications of international quality in high quality refereed journals generating research impact in terms of economic/societal benefit.
- Presentation at international and national conferences and at internal/external seminars, colloquia and workshops.
- Identification of potential funding sources and the development of proposals to secure funding from internal/external bodies to support future research.
- Provide academic leadership in computational biology research to capitalise on infrastructure, drive innovation, and ensure the School’s continued momentum in data-driven biomedical science.
- Developing and maintaining collaborations with colleagues across the School/College/University, particularly in the Centre for Data Science & AI, to drive data science and adoption of AI across the Life Sciences.
- Contribution to team/group meetings/seminars/workshops and activities to enhance the wider knowledge, outputs and culture of the School/College.
- Developing and maintaining collaborations with external Academic and Industrial Partners.
3. Contribute to the planning, organisation and delivery of high quality teaching, supervision and assessment activities across under/post-graduate programmes within the Subject/School.
4. Contribute to the on-going development and design of under/post-graduate curricula, to ensure a research-led approach to student learning and assessment in the discipline and/or profession.
5. Manage a variety of academic administrative activities, including timely delivery of effective and constructive feedback on assessment, and provision of pastoral support.
6. Effectively manage the provision and maintenance of high-performance computer infrastructure for the School.
7. Contribute to the management and organisational duties of the School, as assigned by the Head of School.
8. Engage in personal, professional and career development.
9. Contribute to the enhancement of the University’s international profile in line with the University’s Strategic Plan - Inspiring People – Changing the World. http://www.gla.ac.uk/about/strategy/people/
For appointment at Grade 9:
10. In addition, demonstrate a distinctive contribution to the academic community through a leading role nationally and internationally e.g. shaping research agendas, advising review panels and funders.
11. Excel significantly in generation of research, outputs, funding, supervision, and knowledge exchange/impact.
Knowledge, Qualifications, Skills and Experience
Knowledge/Qualifications
Essential:
A1 PhD or equivalent relevant experience.
A2 Significant breadth/depth of knowledge, publications, and projects applying Computational Biology to biomedical research.
A3 A growing international reputation, evidenced by esteem indicators, in Computational Biology that matches or enhances existing research within the School.
For appointment at Grade 9:
A4 An extensive and established reputation in research and/or teaching within Computational Biology as evidenced by esteem indicators.
Skills
Essential:
C1 Ability, drive and influence to develop an international research profile.
C2 Research creativity and strong cross-discipline collaborative ability as appropriate.
C3 Excellent communication skills, with ability to communicate complex data/concepts clearly and concisely.
C4 Excellent interpersonal skills and a collegiate approach.
C5 Appropriate workload/time/project/budget/people management skills.
C6 Extensive IT and data analysis/interpretation skills.
C7 Good team leadership skills including demonstrable supervisory skills.
C8 A strong commitment to high quality, research led, student orientated teaching and proven ability to engage students to inspire learning, and to provide pastoral care to students.
For appointment at Grade 9:
C9 Excellent leadership skills, able to develop early career academic colleagues and manage a research team.
C10 Excellent influencing and collaboration skills to facilitate shaping the research agenda of the academic community and funders.
C11 Exceptional commitment to high quality teaching, enthusing students and inspiring learning.
Experience
Essential:
E1 Sufficient depth of relevant research experience including postdoctoral experience.
E2 Evidence of a track record of publications and presentations in Computational Biology applied to Biomedical Research.
E3 Experience in developing successful external grant funding applications and undertaking independent research.
E4 Track record of development and delivery of teaching at undergraduate or postgraduate level.
E5 Strong track record of undertaking research, publishing in high impact journals at national and international level, and in attracting external research funding.
E6 Excellent track record of contribution to academic and administration activities in a research-led institution.
For appointment at Grade 9:
E7 Evidence the above criteria to a higher degree, particularly in generation of research, outputs, funding, supervision, and knowledge exchange/impact.
Terms and Conditions
Salary will be Grade 8/9 £50,253 - £58,225/£59,966 - £67,468 per annum.
This post is full time and open ended.
For the Lecturer post the successful candidate will be enrolled onto the University’s Early Career Development Programme (ECDP). This will provide you as an early career academic staff member to be developed and supported over a specified timeframe to facilitate the advancement of your academic career. Information on the programme can be found here.
The University of Glasgow has a responsibility to ensure that all employees are eligible to live and work in the UK. If you require a Skilled Worker visa to work in the UK, you will be required to meet the eligibility requirements of the visa route to be assigned a Certificate of Sponsorship.
Please note that this post may be eligible to be sponsored under the Skilled Worker visa route if tradeable points can be used under the Skilled Worker visa rules. For more information please visit: https://www.gov.uk/skilled-worker-visa.
As a valued member of our team, you can expect:
1 A warm welcoming and engaging organisational culture, where your talents are developed and nurtured, and success is celebrated and shared.
2 An excellent employment package with generous terms and conditions including 41 days of leave for full time staff, pension, benefits and discount packages.
3 A flexible approach to working.
4 A commitment to support your health and wellbeing, including a free 6-month UofG Sport membership for all new staff joining the University.
We believe that we can only reach our full potential through the talents of all. Equality, diversity and inclusion are at the heart of our values. Applications are particularly welcome from across our communities and in particular people from the Black, Asian and Minority Ethnic (BAME) community, and other protected characteristics who are under-represented within the University. Read more on how the University promotes and embeds all aspects of equality and diversity within our community here.
We endorse the principles of Athena Swan and hold bronze, silver and gold awards across the University.
We are investing in our organisation, and we will invest in you too. Please visit our website https://www.gla.ac.uk/explore/jobs/ for more information.
For any informal enquiries, please contact: Professor James Brewer, James.Brewer@glasgow.ac.uk
Closing Date: 16 February 2026 at 23:45.