Publisher
source

Justin Benesch

Top university

5 months ago

Protein science, Computational biology, Molecular biophysics Universities of Oxford, Liverpool, and Cambridge in United Kingdom

Degree Level

Postdoc

Field of study

Molecular Biology

Funding

BBSRC-funded postdoctoral position. Full funding for salary and research costs provided.

Deadline

Expired

Country flag

Country

United Kingdom

University

University of Oxford

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Where to contact

Official Email

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Keywords

Molecular Biology
Chemistry
Biology
Molecular Modeling
Molecular Dynamics
Computational Biology
Mass Spectrometry
Python Programming
Protein Purification
Protein Expression
High Performance Computing
Protein-protein Interaction
Protein Folding
C
Kinase Biology
Metaproteomics

About this position


Are you passionate about pushing the boundaries of protein science? We are seeking a talented and driven postdoctoral researcher to join a BBSRC-funded project in Single Molecule Proteomics . This ambitious initiative is led by Professor Justin Benesch and brings together a multidisciplinary team from the Universities of Oxford, Liverpool, and Cambridge.

About the Project

This collaborative effort aims to revolutionize how we identify proteins and their modifications—especially phosphorylation, which plays a critical role in regulating protein function but remains elusive with current technologies. We’re developing a novel platform to uncover the hidden dynamics of proteins in health and disease.

Your Role

As a postdoc on this project, you’ll be part of a dynamic team working at the intersection of computational biology, molecular biophysics, and cutting-edge analytical technologies. You’ll contribute to the development and application of computational methods to understand protein folding, structure, and interactions.

We’re Looking for Someone With:

  • Strong expertise in protein structure prediction , molecular modelling, and docking.
  • Proficiency in LINUX, bash scripting , and high-performance computing environments.
  • Advanced programming skills , particularly in Python.
  • Experience with computational approaches to protein folding welcome .
  • Familiarity with molecular dynamics simulation tools such as GROMACS welcome.
  • A solid foundation in molecular biology , including protein expression and purification.
  • Understanding of protein-peptide interactions .
  • Knowledge of mass spectrometry techniques.

Why Join Us?

You’ll be working alongside leading scientists including Philipp Kukura, Dirk Aarts, Hagan Bayley, Madhavi Krishnan, Yujia Qing, Yarin Gal, Kevin Foster, Claire Eyers, and Sarah Teichmann. This is a unique opportunity to contribute to a transformative project with real-world impact, in a collaborative and intellectually stimulating environment. If you're excited by the challenge of uncovering the hidden layers of protein biology and want to be part of a pioneering team, we’d love to hear from you.

Apply now and help shape the future of proteomics.

Applications for this vacancy are to be made online, and you will be required to upload a supporting statement and CV as part of your application.  Your supporting statement must explain how you meet each of the selection criteria for the post using examples of your skills and experience. Certificates, references and research papers should not be provided at this stage.

To apply for this role and for further details, including a job description and selection criteria, please click on the link below.

The closing date for applications is 12.00 midday, on 9 October 2025. Interviews will be held as soon as possible thereafter.

The University of Oxford and The Department of Chemistry are Silver Athena SWAN holders. Applications are particularly welcome from women and black and ethnic minority candidates, who are under-represented in Chemistry research posts in Oxford.


Funding details

BBSRC-funded postdoctoral position. Full funding for salary and research costs provided.

What's required

Applicants should have strong expertise in protein structure prediction, molecular modelling, and docking, as well as proficiency in LINUX, bash scripting, and high-performance computing environments. Advanced programming skills, particularly in Python, are required. Experience with computational approaches to protein folding and familiarity with molecular dynamics simulation tools such as GROMACS are welcome. A solid foundation in molecular biology, including protein expression and purification, understanding of protein-peptide interactions, and knowledge of mass spectrometry techniques are also expected. Candidates should be able to demonstrate how they meet each of the selection criteria in their supporting statement.

How to apply

Apply online via the University of Oxford application portal. Upload a supporting statement and CV, detailing how you meet the selection criteria. Do not include certificates, references, or research papers at this stage. Follow the provided link for further details and the application form.

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