Research Associate (Fixed Term)

The Department of Genetics in central Cambridge. We are looking for a curiosity-driven and ambitious biologist to join our small team focusing on molecular mimicry. The successful candidate will be leading key bioinformatics projects of the lab, including screens to identify new DNA mimicking proteins, in silico protein engineering to create entirely new mimicking proteins and studying the natural diversity of mimics and their evolution.

The focus of the role will be to establish large scale bioinformatic screens to identify new cases of molecular mimicry. This involves combining protein structure prediction tools (Alphafold, Rosetta) with tailored structure comparison algorithms. In addition, the applicant will explore the natural diversity of DNA mimicking proteins to understand the determinants of successful molecular mimicry. This background knowledge will be used in combination with in silico protein design tools to explore the production of entirely new mimicking proteins. The applicant will also have the opportunity to study the implication of DNA mimicking proteins in prokaryotic gene flow, and more particularly in the spread of antibiotic resistance genes.

This is a bioinformatics role, therefore significant coding experience is essential, with knowledge in protein structure analysis. The candidate must be fluent in Python or R with familiarity in high performance computing. Working knowledge of protein sequence evolution analysis would also be valuable. Candidates with a mixed wet-lab and bioinformatics background are encouraged to apply, as the role can potentially be adapted to include wet-lab experiments depending on the candidate's expertise and interests. A strong knowledge and, more importantly, a broad curiosity about protein-DNA interactions across the tree of life are essential. 

Suitable applicants should hold a PhD in a relevant scientific discipline and be able to demonstrate a driven work ethic and perseverance. A track record in protein structure analysis is a plus. They will ideally have experience of supervising junior lab members and students and be confident at delivering bioinformatic training.

Strong communication skills and the ability to discuss research with different audiences is essential. This includes presenting at conferences, contributing to publications, supporting teaching activities and helping to lead group discussions.

Informal enquiries about the role are welcome and should be directed to Dr Antoine Hocher ah2368@cam.ac.uk 

The role is available for an immediate start and we will be looking to interview shortly after the closing date. The start date is flexible but ideally no later than January 2025.

Please quote reference PC43067 on your application and in any correspondence about this vacancy.

The University actively supports equality, diversity and inclusion and encourages applications from all sections of society.

The University has a responsibility to ensure that all employees are eligible to live and work in the UK.

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