Job Description

Ref Number

B02-09282

Professional Expertise

Research and Research Support

Department

School of Life & Medical Sciences (B02)

Location

London

Working Pattern

Full time

Salary

43,981-52,586

Contract Type

Permanent

Working Type

On site

Available for Secondment

No

Closing Date

01-Sep-2025

About us

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The Department of Clinical and Movement Neurosciences is a world-leading group that brings together expertise across the clinical and basic science spectrum of the physiology and pathology of human movement and movement disorders.



The Department incorporates groups from the Queen Square and Royal Free campuses of the Institute and includes the Reta Lila Weston Institute. At the heart of this is the Reta Lila Weston Biomarker Research and Innovation in Neurodegeneration (RLW BRAIN) programme, a unique new research initiative based on the 2,500 postmortem brain tissue collection at the Queen Square Brain Bank (QSBB). The collection includes samples from patients with neurodegenerative disorders, such as Parkinson's disease, parkinsonian disorders, Alzheimer's disease, frontotemporal dementia, and controls. The programme is led by Professor Tom Warner, Director of the Reta Lila Weston Institute and QSBB, alongside Co-Investigator Dr Zane Jaunmuktane.

About the role

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We are now recruiting a Research Fellow in AI and Digital Pathology in Dementia Research to join the RLW BRAIN programme. The primary focus of the role is to work with digital pathology datasets, develop AI and machine learning (ML) models based on image and language data, and contribute to advancing diagnostic accuracy, biomarker discovery, and disease stratification through innovative research.



The post offers an excellent opportunity for a motivated candidate to work in a multidisciplinary team to build a data-driven platform combining world-leading expertise in AI, neuropathology, clinical dementia research, spatial transcriptomics, biomarker data, and tissue omics to characterise, understand, and diagnose neurodegenerative diseases.



This position is ideal for someone eager to be part of an exciting, large multicentre research project, as well as contribute to clinical research. As a key member of the team, you will assist with the day-to-day coordination of all team efforts, ensuring high levels of functionality and communication.



The post is available immediately and funded by the Reta Lila Weston Trust until 29 February 2028 in the first instance.



If you need reasonable adjustments or a more accessible format to apply for this job online, or have any queries regarding the application process, please contact the Institute of Neurology HR Team (ion.hradmin@ucl.ac.uk).



Informal enquiries regarding the role can be addressed Professor Tom Warner (t.warner@ucl.ac.uk) and Dr Zane Jaunmuktane (z.jaunmuktane@ucl.ac.uk).



A full job description and person specification for this role can be accessed below. To apply, please upload a current CV, complete the online application form, and use the supporting statement section or upload a cover letter to outline how you meet the essential and desirable criteria for the role. Please do not upload any additional attachments as these will not be considered by the selection panel.

About you

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You'll have a PhD in a discipline related to the RLW BRAIN programme, a strong track record of research publications, and a background in clinical and/or basic research. Knowledge of multi-omics data integration, experience with large-scale clinical datasets, imaging, and electronic health records, and a track record in the theory, development and application of machine learning/AI tools is essential for this role.



This role meets the eligibility requirements for a skilled worker certificate of sponsorship or a global talent visa under UK Visas and Immigration legislation. Therefore, UCL welcomes applications from international applicants who require a visa.

What we offer

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Appointment as Research Fellow is dependent upon having been awarded a PhD; if this is not the case, initial appointment will be as Research Assistant (salary 39,148 - 41,833 per annum) with appointment as Research Fellow being backdated to the date of final submission of the PhD thesis.



As well as the exciting opportunities this role presents, we also offer great benefits, some of which are below:


41 Days holiday (27 days annual leave 8 bank holiday and 6 closure days) Additional 5 days' annual leave purchase scheme Defined benefit career average revalued earnings pension scheme (CARE) Cycle to work scheme and season ticket loan Immigration loan On-site nursery On-site gym 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.



We will consider applications to work on a part-time, flexible, and job share basis wherever possible.



This appointment is subject to UCL Terms and Conditions of Service for Research and Professional Services Staff. Please visit https://www.ucl.ac.uk/human-resources/conditions-service-research-teaching-and-professional-services-staff for more information.

Our commitment to Equality, Diversity and Inclusion

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The Institute prides itself on operating in an all-inclusive environment irrespective of personal, physical, or social characteristics. Teamwork is highly valued, individual strengths are recognised and celebrated, and we are committed to advancing the careers of everyone. 12% of Institute staff are actively working on Equality, Diversity and Inclusion (EDI) initiatives; visit our EDI website for more information about our initiatives and priorities. The Institute also holds an Athena SWAN Silver award, in recognition of our commitment and demonstrable impact in advancing gender equality.



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+ and gender diverse people in all roles, and women in Grade 9 and 10 roles.