Research Assistant in AI for Medical Imaging (Fixed Term)

Position Overview

Research Assistant to join a highly successful multidisciplinary collaboration between the groups of Dr Mireia Crispin and Dr Matt Hoare at the Early Cancer Institute, located on the Cambridge Biomedical Campus. Working at the interface of artificial intelligence, data science and cancer research, this work will develop next‑generation computational methods to improve early liver cancer detection and accurately predict malignancy risk. Prospective candidates are encouraged to contact Matt Hoare (mwh20@cam.ac.uk) or Mireia Crispin (mc973@cam.ac.uk) directly when considering an application to discuss the project in greater detail.

Key Responsibilities

• Develop AI approaches to analyse liver imaging data from a large and unique in‑house dataset of CT and MRI scans.


• Develop robust and reproducible analytical pipelines and explore state‑of‑the‑art approaches including deep learning, computer vision, foundation models, multimodal data integration, generative modelling and interpretable machine learning.


• Image registration, segmentation and object detection; longitudinal disease modelling; quantitative feature extraction; classification and risk prediction; and evaluation of models using clinically meaningful outcomes.


• Work closely with researchers in artificial intelligence, cancer biology, radiology and clinical medicine.


• Access distinctive clinical datasets, specialist scientific and clinical expertise, and substantial GPU and high‑performance computing resources.


• Contribute ideas, shape new analytical directions and participate in publications, conference presentations and collaborative funding applications.

Requirements

• Degree in computer science, engineering, biology, physics, or a closely related field.


• Programming experience in Python and bash, alongside expertise in the analysis of large datasets and the development of machine learning models.


• Excellent written and verbal communication skills, evidence of effective collaboration, and the ability to independently solve problems, troubleshoot, and navigate relevant literature.

Additional Information

• This Evelyn Trust funded position is available for 24 months (fixed‑term).


• Upon acceptance, the successful candidate will be required to undergo a standard Disclosure and Barring Service check and a Research Passport application.


• We welcome applications from individuals who wish to be considered for part‑time working or other flexible working arrangements.


• Closing Date: 24th August 2026.


• Interview Date: Week commencing 7th September 2026.


• Please quote reference RD50503 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.