Job Description

Ref Number

B04-06955

Professional Expertise

Research and Research Support

Department

UCL BEAMS (B04)

Location

London

Working Pattern

Full time

Salary

43,981-52,586

Contract Type

Fixed-term

Working Type

Hybrid

Available for Secondment

No

Closing Date

28-Jan-2026

About us

------------


UCL's Department of Computer Science (CS) is a top-ranked Computer Science Department in the UK. In the 2021 Research Excellence Framework (REF) evaluation, UCL Computer Science was ranked second in the UK for research power and first in England. The Bioinformatics Group has a world-class reputation in the area of bioinformatics and particularly the applications of AI in protein bioinformatics.

About the role

------------------


The post sits within the Department of Computer Science and the Jones group, contributing to a BBSRC-funded project developing next-generation protein language models and domain-centric machine-learning frameworks for large-scale sequence-structure analysis and functional prediction. The role involves designing, implementing, and benchmarking computational models; developing and maintaining open-source software and web resources; running and analysing experiments; and documenting, presenting, and publishing research outcomes in line with project objectives. The post also includes contributing to project planning and reporting, supporting group activities, representing the work at scientific meetings, and helping with supervising students where appropriate.

About you

-------------


The ideal candidate is a research-focused computational scientist with a PhD and a strong background in bioinformatics, computational biology, or a closely related quantitative discipline, with experience in protein sequence or structure analysis, machine-learning method development, and modern software engineering practices. They should be proficient in Python and Linux-based development, familiar with deep learning approaches in structural biology, and comfortable working with large-scale datasets and model benchmarking. Strong analytical, organisational, and communication skills are essential, along with the ability to collaborate effectively within a team, contribute to publications and presentations, and support the development of web-based bioinformatics tools. A job description and person specification can be accessed at the bottom of this page. To apply for the vacancy please click on the 'Apply Now' button below. If you have any queries regarding the vacancy or the application process, please contact Professor David Jones (d.t.jones@ucl.ac.uk).

What we offer

-----------------


As well as the exciting opportunities this role presents, we also offer some great benefits some of which are below: 41 Days holiday: 27 days annual leave 8 bank holiday and 6 closure days (pro rata for part time staff). Additional 5 days' annual leave purchase scheme (pro rata for part time staff). Cycle to work scheme and season ticket loan. On-Site nursery Enhanced maternity, paternity and adoption pay. Employee assistance programme: Staff Support Service Discounted medical insurance. Visit https://www.ucl.ac.uk/work-at-ucl/reward-and-benefits to find out more.

Our commitment to Equality, Diversity and Inclusion

-------------------------------------------------------


As London's Global University, we know diversity fosters creativity and innovation, and we want our community to represent the diversity of the world's talent. We are committed to equality of opportunity, to being fair and inclusive, and to being a place where we all belong. We therefore particularly encourage applications from candidates who are likely to be underrepresented in UCL's workforce. These include people from Black, Asian and ethnic minority backgrounds; disabled people; LGBTQI+ people; and for our Grade 9 and 10 roles, women. You can read more about our commitment to Equality, Diversity and Inclusion here: https://www.ucl.ac.uk/equality-diversity-inclusion/. Our department holds an Athena SWAN Gold award, in recognition of our commitment and demonstrable impact in advancing gender equality.