King's College London

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.

About You

To be successful in this role, we are looking for candidates to have the following skills and experience:

Essential criteria

1. Have MSc in Artificial Intelligence, Biomedical Engineering, Computer Science, Bioinformatics, Chemoinformatic or another related area.
2. Excellent programming skills in Python.
3. Excellent communication skills, both written and oral, including the ability to write for publication, present research proposals and results, and represent the research group at meetings
4. Experience in developing deep learning models
5. Ability to manage own academic research and associated activities

Desirable criteria

1. Experience in dealing with large image data
2. Experience of contributing to reports and articles for publication
3. Strong interest in biomedical applications.
4. Experience of working in a research team and contributing ideas for new research projects
5. Experience in Natural Language Processing and multi-modal data integration

Downloading a copy of our Job Description

Full details of the role and the skills, knowledge and experience required can be found in the Job Description document, provided at the bottom of the next page after you click “Apply Now”. This document will provide information of what criteria will be assessed at each stage of the recruitment process.

Further Information

We pride ourselves on being inclusive and welcoming. We embrace diversity and want everyone to feel that they belong and are connected to others in our community.

We are committed to working with our staff and unions on these and other issues, to continue to support our people and to develop a diverse and inclusive culture at King's.

We ask all candidates to submit a copy of their CV, and a supporting statement, detailing how they meet the essential criteria listed in the advert. If we receive a strong field of candidates, we may use the desirable criteria to choose our final shortlist, so please include your evidence against these where possible.

To find out how our managers will review your application, please take a look at our ‘ How we Recruit’ pages.

We are able to offer sponsorship for candidates who do not currently possess the right to work in the UK.