Research Associate in AI-enhanced Molecular Dynamics to Study Antibiotic Accumulation in Bacteria

Job number

NAT02217

Faculties

Faculty of Natural Sciences

Departments

Department of Chemistry

Salary or Salary range

£49,017 - £57,472 per annum

Location/campus

White City Campus - On site only

Contract type work pattern

Full time - Fixed term

Posting End Date

19 Jul 2026

About the role

Supported by funding from the Wellcome Trust, this project offers an exciting opportunity for a Research Associate to join the groups of Prof Ramon Vilar (Chemistry) and Prof Mauricio Barahona (Mathematics) at Imperial College London. You will work at the interface of computational chemistry and data science, to investigate the structure, dynamics, and transport properties of membrane proteins. The role is part of the Gram-Negative Antibiotic Discovery Innovator (Gr-ADI) initiative, a major collaborative effort aimed at addressing antimicrobial resistance (AMR), which represents a significant and growing global health threat.

The research will focus on understanding how small molecules cross and accumulate within Gram-negative bacteria such as Klebsiella pneumoniae, which present significant challenges due to their dual membranes and efficient efflux mechanisms. By taking a systematic, data-driven approach, you will contribute to uncovering the fundamental principles governing molecular permeation and intracellular accumulation. Given the limited understanding of how to develop antibiotics that can cross these membranes and accumulate within bacteria, we will take a systematic, data-driven approach to elucidate the chemical ‘rule book’ that determines small molecule penetration and accumulation in Klebsiella to guide rational design of next generation antibiotics.

What you would be doing

You will contribute to the development and application of molecular dynamics (MD) simulations, integrated with machine learning (ML) approaches, to study the structure, dynamics, and transport properties of membrane permeation systems, including porins and efflux channels, in Gram-negative bacteria. A key objective of the role is to develop automated feature-generation pipelines that incorporate simulation-derived biophysical descriptors into broader ML frameworks for predicting bacterial drug accumulation. This position forms part of a large, multi-disciplinary effort to elucidate the principles governing small-molecule accumulation in Klebsiella and other Gram-negative pathogens, and to develop open AI/ML-based models that support the rational design of next-generation antibiotics.

You will be contributing to a dynamic and ambitious global project – the Gr-ADI initiative, funded by Wellcome Trust, that involves several groups around the world. At Imperial, you will work closely with a multidisciplinary team, across assay design, small molecule screens and chemical biology and microbiology (Prof Ed Tate, Prof Gad Frankel, Dr Andy Edwards), ‘omics technologies (Dr Matt Child), data science (Dr Marko Storch) and AI (Prof. Alessandra Russo, Prof. Mauricio Barahona). You will also contribute to wider aspects of the project such as supervising students and junior staff members, liaising with collaborators, preparing reports and publications, and presenting data at meetings.

What we are looking for

Essential criteria:

• Hold a PhD (or be near completion) in computational chemistry, computational biology, or a related discipline.

• Experience in molecular dynamics simulations and structural bioinformatics.

• Experience in ML / data-driven modelling such as machine-learned coarse-grained MD, or similar, including relevant frameworks

• Experience of effective collaboration and undergraduate/postgraduate supervision.

Desirable: Experience with simulations involving biological membranes and transmembrane proteins. Practical experience on applying molecular dynamics and/or machine learning approaches to bacterial porins or related membrane channels in the context of antimicrobial resistance would be especially advantageous. Familiarity with enhanced sampling methods or multiscale modelling would also be advantageous.

What we can offer you

• Become part of a multidisciplinary team working on one of the major challenges in antibiotic drug discovery.
• The opportunity to develop your research career at a world-leading institution and be part of our mission to continue science for humanity.
• Grow your career: gain access to Imperial’s sector-leading dedicated career support for researchers as well as opportunities for promotion and progression.
• Sector-leading salary and remuneration package (including 41 days off a year and generous pension schemes).
• Be part of a diverse, inclusive and collaborative work culture with various staff networks and resources to support your personal and professional wellbeing.

Further information

This is a full-time, fixed-term role for up to 24 months, with the possibility of an extension.

Candidates who have not yet been officially awarded their PhD will be appointed as Research Assistant.

The position is on-site at White City Campus.

For further details please contact: Prof Ramon Vilar - r.vilar@imperial.ac.uk

Available documents

Attached documents are available under links. Clicking a document link will initialize its download.

Please note that job descriptions are not exhaustive, and you may be asked to take on additional duties that align with the key responsibilities mentioned above.

We reserve the right to close the advert prior to the closing date stated, should we receive a high volume of applications. It is therefore advisable that you submit your application as early as possible to avoid disappointment.

If you encounter any technical issues while applying online, please don't hesitate to email us at support.jobs@imperial.ac.uk. We're here to help.

About Imperial

Welcome to Imperial, a global top-ten university where scientific imagination leads to world-changing impact.

Join us and be part of something bigger. From global health to climate change, AI to business leadership, here at Imperial we navigate some of the world’s toughest challenges. Whatever your role, your contribution will have a lasting impact.

As a member of our vibrant community of 22,000 students and 8,000 staff, you’ll collaborate with passionate minds across nine London campuses and a global network.

This is your chance to help shape the future. We hope you’ll join us at Imperial College London.

Our Culture

We work towards equality of opportunity, to eliminating discrimination, and to creating an inclusive working environment for all. We encourage applications from all backgrounds, communities and industries, and are committed to employing a team that has diverse skills, experiences and abilities. You can read more about our commitment on our web pages.

Proud signatory of the Armed Forces Covenant. We welcome applications from the Armed Forces community.

Our values are at the root of everything we do, and everyone in our community is expected to demonstrate respect, collaboration, excellence, integrity, and innovation.