At a Glance
- Tasks: Conduct innovative research in AI for molecular modelling and contribute to groundbreaking projects.
- Company: Brunel University, a leading multidisciplinary research-intensive technology university.
- Benefits: Generous annual leave, hybrid working, excellent training, and a great pension scheme.
- Other info: Inclusive culture promoting diversity and excellent career growth opportunities.
- Why this job: Join a top-ranked team and make a real impact in biological and toxicological sciences.
- Qualifications: Experience in protein modelling, docking, machine learning, and Python software development.
The predicted salary is between 44762 - 44762 £ per year.
Location: Brunel University of London, Uxbridge Campus
Contract Type: Fixed-term until 30/11/2028
Brunel University of London was established in 1966 and is a leading multidisciplinary research-intensive technology university delivering economic, social and cultural benefits.
The Department of Computer Science at Brunel, where this project will be based, has a strong record of internationally recognised research. In the 2020–2025 editions of the NTU Performance Ranking of Scientific Papers for World Universities, Computer Science at Brunel was ranked in the top 10 in the UK overall. It was also ranked first in the UK for H-index and highly cited papers for five consecutive years. More recently, Brunel was ranked 48th worldwide for Artificial Intelligence in the 2025 Shanghai Global Ranking of Academic Subjects.
This position will contribute to the UKRI NERC-funded project “Defining species sensitivities to endocrine-disrupting chemicals” led by Brunel University of London in collaboration with the University of Southampton. The project aims to develop innovative computational approaches to predict which vertebrate species are most sensitive to endocrine-disrupting chemicals and to identify the molecular and structural features underlying differences in sensitivity. It will investigate nine families of nuclear receptors across fish, amphibians, reptiles, birds and mammals.
The Research Fellow will deliver the computational component of the project through protein structure modelling, molecular docking and detailed analysis of protein-ligand interactions. They will integrate these results with receptor-interaction data generated by the experimental collaborators at the University of Southampton to develop and evaluate artificial intelligence (AI) methods for predicting chemical binding and species sensitivity.
We are looking for a computational scientist with an interest in interdisciplinary research applied to biological and toxicological sciences. Preference will be given to candidates with knowledge and experience of protein molecular modelling, protein–ligand docking, machine learning methods for computational biology, and software development in Python.
We offer a generous annual leave package plus discretionary University closure days, excellent training and development opportunities as well as a great occupational pension scheme and a range of health-related support. The University is committed to a hybrid working approach.
Closing date for applications: 21 September 2026.
All Applicants should be eligible to live and work in the UK for the duration of any offer of appointment. A Basic Disclosure and Barring Service (DBS) check is required for this role.
Brunel University of London wishes to promote an inclusive and diverse workforce and create a culture that values the contribution of all backgrounds and communities. All employees will be recruited, selected and appointed in line with our equality and diversity policy.
Salary: £41,292 to £44,762 per annum inclusive of London weighting with potential to progress to £48,557 per annum inclusive of London weighting through sustained exceptional contribution. (Pro-rata for part-time.) Grade R1.
Research Fellow: AI for Molecular Modelling - 16961 in Uxbridge employer: Brunel University London
Brunel University London is an exceptional employer, offering a vibrant and inclusive work culture that values diversity and collaboration. Located in Uxbridge, the university provides ample opportunities for professional growth and development, particularly in international engagement roles like the Global Engagement Coordinator. With a commitment to flexible working and a supportive environment, employees can thrive while contributing to meaningful global partnerships and student mobility initiatives.
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We think you need these skills to ace Research Fellow: AI for Molecular Modelling - 16961 in Uxbridge
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