Summary:
The University of Oxford is seeking a Postdoctoral Research Associate to join the Oxford Protein Informatics Group (OPIG) in the Department of Statistics. This position focuses on the discovery and rational optimization of broadly neutralizing antibodies against blood-stage malaria, funded by the Gates Foundation.
Postdoctoral Research Associate, University of Oxford, UK
Designation:
Postdoctoral Research Associate
Table:
| Detail | Information |
|---|---|
| Research Area | Immunoinformatics, Structural Biology, Machine Learning |
| Location | Department of Statistics, 24-29 St Giles’, Oxford, OX1 3LB |
| Eligibility/Qualification | PhD/DPhil in related fields |
| Contract Duration | Full-time, fixed term (21 months, ending no later than March 31, 2028) |
| Pay Scale | Research Grade 7 |
| Contact Email | hr@stats.ox.ac.uk |
| Vacancy ID | 186456 |
Research Area:
The research will focus on the application of advanced structure-aware machine learning methods to predict antibody specificity, cross-reactivity, and developability against blood-stage malaria antigens.
Eligibility/Qualification:
- A PhD/DPhil in Computational Chemistry, Structural Biology, Bioinformatics, Statistics, Machine Learning, Computer Science, Mathematics, or a closely related field.
- Strong programming skills in Python and experience with high-performance computing.
- Solid understanding of computational biology or protein modeling.
- Experience in developing machine learning methods for protein analysis or design.
Job Description:
The Postdoctoral Research Associate will:
- Develop and apply machine learning methods for antibody specificity and optimization.
- Adapt computational models to analyze antibody-antigen interactions and predict escape mutations.
- Manage research activities and coordinate project aspects to meet deadlines.
- Prepare publications, presentations, and proposals.
- Contribute to project development by generating new research ideas and supporting funding applications.
- Collaborate with experimental and computational researchers, supporting students and junior researchers.
- Engage in teaching and academic service activities within the Department.
How to Apply:
Interested candidates must upload a CV and a Supporting Statement as part of their application. Please do not attach any manuscripts, papers, transcripts, mark sheets, or certificates, as these will not be considered.
Last Date to Apply:
Deadline: Tuesday, 2 June 2026, by 12:00 PM.
For further details, refer to the job description or contact Sahal Kushkiwala.
