Postdoctoral Data Scientist Engineer (UK Visa Sponsorship Available)

Job Description

About Us

The UCL Hawkes Institute is a multidisciplinary research centre that brings together expertise from Medical Physics and Biomedical Engineering, Computer Science, and a further eight departments across four UCL faculties. It unites researchers from mathematical, computational, medical, and clinical sciences to advance innovation in healthcare technologies.

This role is part of the Medical Physics and Biomedical Engineering professional services team, with most staff based at 90 High Holborn, where the Institute shares space with the UCL AI Centre.

The Department of Medical Physics and Biomedical Engineering is internationally recognised for research in imaging, instrumentation, and computational medicine. It provides a dynamic, interdisciplinary environment for research and education, supported by collaborations with the UCL Department of Computer Science, one of the UK’s top-ranked departments in research power and impact.

About the Role

We are seeking a Postdoctoral Research Fellow (Data Scientist Engineer) to join the Quantitative Neuroradiology Initiative (QNI) — part of the UCL Biomedical Research Council initiative.

This is an exciting opportunity to contribute to the development of advanced quantitative neuroradiology tools aimed at improving diagnosis and monitoring of neurological diseases such as dementia, multiple sclerosis, and glioma.

Working within a multidisciplinary team led by Dr Ferran Prados Carrasco, the postholder will:

• Develop and validate imaging analysis methodologies.
• Design and implement quantitative imaging pipelines for cross-sectional and longitudinal studies.
• Conduct data analysis, prepare detailed reports, and contribute to peer-reviewed publications.
• Present findings at conferences and to funding bodies.
• Collaborate closely with clinicians to ensure the clinical efficacy and integration of developed tools into hospital platforms.
• An enhanced DBS check is required for this role.

About You

Essential Criteria:

• PhD (or near completion) in Medical Imaging, Bioinformatics, Data Science, or a closely related field.
• Experience in instrumentation, image processing algorithms, machine learning, or scientific software development.
• Strong programming skills and practical experience with relevant software tools and coding languages.
• Demonstrated track record of research output (e.g., publications, presentations).
• Excellent communication and teamwork skills, with the ability to work independently and collaboratively.

You will be responsible for developing image processing algorithms, implementing data analysis and control scripts, and assembling comprehensive quantitative clinical reports. You will also collaborate with hospital and research partners to deploy and validate these tools in clinical settings.

Application Process

Your application must include:

• A CV (including education, research experience, and publications).
• A Cover Letter addressing how you meet the essential and desirable criteria listed in the Person Specification.

Please upload your Cover Letter in the designated section of the online application form. (You may leave the “Why you have applied” section blank.)

This role meets the eligibility requirements for both the Skilled Worker visa and Global Talent visa under UK Visas and Immigration legislation.

UCL welcomes international applicants requiring visa sponsorship.

What We Offer

UCL provides a competitive benefits package, including:

• 41 days of holiday (27 days annual leave, 8 bank holidays, 6 closure days)
• Option to purchase up to 5 additional leave days
• Defined benefit CARE pension scheme
• Cycle to Work and season ticket loan schemes
• Immigration loan and relocation support (for eligible posts)
• On-site nursery and gym facilities
• Enhanced parental pay (maternity, paternity, adoption)
• Employee Assistance Programme and wellbeing services
• Discounted medical insurance

Note: Interviews are scheduled for 17–21 November 2025. Early applications are encouraged, as the advert may close early if a high volume of applications is received.

Equality, Diversity and Inclusion

At UCL, we believe diversity drives creativity, innovation, and excellence. We are committed to equality of opportunity, inclusivity, and ensuring that every member of our community feels valued and respected.

We particularly welcome applications from individuals underrepresented in our workforce, including those from Black, Asian, and minority ethnic backgrounds, disabled people, and LGBTQI+ communities.

The Department of Medical Physics and Biomedical Engineering holds an Athena SWAN Bronze Award, recognising our commitment to advancing gender equality.