Research Fellow in Computational Neuro-Oncology

UCL Eastman Dental Institute; London; On-site; GBP 41,000 - 44,000; Full time

Job summary

A leading institution in London is seeking a Research Fellow in Computational Neuro-Oncology to develop machine learning models for brain tumour data. This role involves collaboration with healthcare professionals and academics to enhance treatment understanding and improve clinical decisions. The position is funded for approximately 11 months, offering competitive remuneration and extensive benefits.

Benefits

41 Days holiday (27 days annual leave, 8 bank holidays, and 6 closure days)

Pension scheme

On-site gym

Cycle to work scheme

Relocation scheme

Enhanced parental leave

Employee assistance programme

Qualifications

• Relevant degree in Engineering, Physical Sciences, Computer Science or similar.
• Experience in machine learning and programming is essential.
• Excellent interpersonal, writing, and presentation skills required.

Responsibilities

• Develop and refine segmentation models for brain tumour imaging.
• Prepare and analyse data for research publications and conferences.
• Work collaboratively with a multidisciplinary team on the PROVIDENTIA project.

Skills

Machine Learning

Computer Programming

Collaborative Skills

Education

Bachelor’s degree in Engineering, Physical Sciences or Computer Sciences

PhD in medical imaging or related field

Job description

Research Fellow in Computational Neuro-Oncology, London

About the role

We are seeking a Research Fellow with a background in medical image computing or machine learning to join the High-Dimensional Neurology Group and Computational Radiation Biology Lab at UCL. The successful candidate will perform computational modelling of multimodal MRI, molecular, and clinical data of children and young people's brain tumours, collected as part of the PROVIDENTIA project, under the supervision of Dr. Harpreet Hyare and Dr. Jamie Dean.

The initial focus will be on machine learning-based analyses of MRI data to understand patterns of treatment response and recurrence, followed by integration of these data with clinical and molecular data to infer features associated with differential responses between patients.

The post is funded by Cancer Research UK for approximately 11 months in the first instance.

If you have any queries about the role, please contact us.

About you

The successful applicant will have a Bachelor’s degree (or equivalent) in Engineering, Physical Sciences, or Computer Sciences, and be near completion of a PhD in medical imaging, physics, biomedical engineering, computer science, neuroscience, or related fields.

Experience in computer programming and machine learning is required. Excellent collaborative, interpersonal, writing, and presentation skills are necessary.

The role involves developing segmentation models for brain tumours in children and young people, creating prototype systems for survival prediction, and integrating multimodal imaging, molecular, and clinical data to support clinical decisions. The candidate will also prepare data for research publications and presentations.

Applicants should include a CV and Cover Letter demonstrating how they meet the criteria. The application process allows leaving the 'Why you have applied for this role' section blank if a Cover Letter is provided.

Salary

Research Fellow position at Grade 7, spine point 31 (£44,000), contingent upon PhD award. If the PhD is pending, initial appointment at Grade 6B (£41,000) as Research Assistant, with regrading upon PhD completion.

What we offer

• 41 days holiday (including bank holidays and closure days)
• Additional 5 days’ annual leave purchase scheme
• Defined benefit pension scheme (CARE)
• Cycle to work scheme and season ticket loan
• Relocation support for some posts
• On-site gym
• Enhanced maternity, paternity, and adoption pay
• Employee assistance programme