Research Assistant in Computer Vision and Biomedical Imaging

KINGS COLLEGE LONDON; United Kingdom; On-site; GBP 38,000 - 44,000; Full time

Job summary

A leading research institution in the UK is seeking a full-time AI research position focusing on advancing cancer treatment through innovative machine learning techniques. The role involves hands-on work with biomedical datasets, developing state-of-the-art models, and collaborating with multidisciplinary teams. This fixed-term position is funded for 18 months with a salary ranging from £38,482 to £43,249. Contact Dr Heba Sailem via email for more information.

Qualifications

• Experience with machine learning and AI in healthcare.
• Knowledge in deep learning algorithms and models.
• Strong understanding of computer vision applications.

Responsibilities

• Design and develop machine learning techniques for cancer research.
• Collaborate with a multidisciplinary team of researchers.
• Contribute to publications and translational applications.

Skills

Machine learning techniques

Deep learning

Computer vision

Bioinformatics

Multimodal learning tasks

Job description

Offer Description

About Us

The Sailem Group is a dynamic, multidisciplinary research team focused on advancing cancer care through cutting-edge computational and AI technologies. We develop innovative approaches that combine deep learning, computer vision, and bioinformatics to extract actionable insights from complex, multi-modal data, including medical imaging, genomics, and clinical records.

A central theme of our work is the discovery of predictive biomarkers to guide personalised cancer treatment. We place strong emphasis on explainability, robustness, and clinical relevance to ensure our AI models are trustworthy and impactful in real-world settings.

To learn more about our research and collaborations, visit the Biomedical AI and Data Science Group website https://www.hebasailem.com/ .

About The Role

By joining our team, you will gain hands-on experience working with real-world biomedical datasets and contribute to high-impact research that shapes next-generation AI tools with the potential to transform cancer diagnosis and treatment.

This role offers the opportunity to design, develop, and apply state-of-the-art machine learning techniques, including vision transformers (ViTs), graph neural networks (GNNs), and vision-language models (VLMs). You will work on multimodal learning tasks that require integrating diverse data types to uncover predictive and explainable biomarkers of cancer progression and treatment response.

You will collaborate closely with a multidisciplinary team of talented researchers and clinicians, as well as external partners and experts in oncology, computer vision, and bioinformatics. There will be opportunities to contribute to the full research pipeline, from ideation to model development and experimental design, through to dissemination via publications and translational applications.

This is an ideal position for someone passionate about innovation in AI for healthcare, eager to tackle real-world challenges, and keen to grow in a creative, collaborative, and impact-driven research environment.

This is a full time post funded by the Wellcome Trust and you will be offered a fixed term contract for 18 months.

This is a copy of request2507015341, which was advertised as follows: new post, grade 5 - SP 25-30 full time for 18 months on project RE22060 - Project 1897834: Harnessing Single Cell Image-transcriptomics And Bespoke AI For A Deeper Understanding Of Tumour-microenvironment Interactions - this was advertised under vacancy number 119466.

This second post will be offered at grade 5, spine point 25, just as the first one has been.

Grade and Salary: £38,482 - £43,249 per annum including London Weighting

Job ID: 125245

Close Date: 12-Oct-2025

Contact Person: Dr Heba Sailem

Contact Details: [e-mail]