Computational Postdoctoral Research Associate
NDM Experimental Medicine, John Radcliffe Hospital, Oxford. OX3 9DU
About the role
We are seeking a creative, collaborative and enthusiastic computational chemist or biophysicist to lead on the molecular simulation work, including free energy calculations, to support our Gram-Negative Antibiotic Discovery Innovator (Gr-ADI) project.
This is an exciting opportunity for a postdoctoral researcher to join an interdisciplinary research team who are working together to discover novel small molecules able to inhibit key protein targets in Klebsiella pneumoniae with the aim that these could be used as antimicrobials to treat infections. The key scientific objective for the postholder will be help mitigate the emergence of antimicrobial resistance by using free energy simulations to identify, for each target/lead pair, which genetic mutations reduce the binding of the ligand, and thereby could lead to resistance. By being part of the core team your results will help guide subsequent optimisation of the lead compounds.
The postholder will be based in the Modernising Medical Microbiology (MMM) Unit at the John Radcliffe Hospital in Oxford (https://www.expmedndm.ox.ac.uk/mmm). Expertise within MMM spans clinical and laboratory microbiology, public health, genomics (including WGS and metagenomics), statistics, machine learning, bioinformatics and software engineering, with a culture in which knowledge is shared and individuals supported. We aim to improve population and individual health through our research and ensure our findings are applied quickly through our relationships with the NHS, public health bodies and the private sector.
The main responsibilities will include working with the wider team to identify suitable target/ligand complexes, preparing, running and analysing the required molecular simulations, updating the project team with your results, which may in turn lead to updated target/ligand complexes. You will need to manage your time, lead on the production of scientific abstracts and manuscripts and attend, where necessary, scientific meetings and conferences. As an experienced researcher you will be expected to provide advice and support for other group members who may be less experienced (e.g. DPhil students) or are trained in a different discipline.
About you
You will hold a PhD in a relevant scientific subject such as computational chemistry or biophysics and have experience setting up, running and analysing classical molecular dynamics simulations and ideally also have carried out alchemical free energy simulations on protein/ligand complexes. You will have familiarity with Linux/Unix command-line environments and high-level programming languages, preferably Python3. Familiarity with high-performance computing and/or cloud computing and an interest in antimicrobial resistance and drug development would be advantageous but not required.
If you have experience in molecular simulation and want to apply your skills and experience to a real-world problem, in this case to help discover new antimicrobials, we’d love to hear from you.
Benefits of working
In return we offer an excellent benefits package including:
- 38 days annual leave (pro rata for part time)
- Hybrid working
- An excellent contributory pension scheme
- Childcare services
- Family leave schemes
- Cycle and electric car loan schemes
- Employee Assistance Programme
- Membership to social and sports clubs
- Discounted bus travel and travel loans
- Weekly coffee and cake mornings, and social events throughout the year
Application Process
This role is based in Oxford and offered on a full-time basis. It is a fixed-term post with funding available for 24 months and the project is funded until 28 Feb 2029.
The closing date for applications is noon on Wednesday 18/11/2026. Interviews will be held as soon as possible thereafter.
You will be required to upload a supporting evidence form (available below) and a CV as part of your online application. No covering letter is required, and CVs alone will not be considered. The supporting evidence form must explain how you meet each of the essential and desirable selection criteria for the post (listed in the job description) using examples drawing on your skills and experience.
Contact Person: HR Team
Vacancy ID: 189357
Closing Date & Time: 18-Nov-2026 12:00
Pay Scale: RESEARCH GRADE 7
Contact Email: exp.med-hr@ndm.ox.ac.uk
Salary (£): £39,424 - £47,779 p.a.
