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- Tasks: Work with real-world biomedical datasets and develop AI tools for cancer diagnosis.
- Company: Join the Sailem Group at King's College London, innovating cancer care through AI and computational technologies.
- Benefits: Enjoy a full-time role with a competitive salary and the chance to make a real impact.
- Why this job: Be part of a creative team tackling real-world challenges in healthcare with cutting-edge technology.
- Qualifications: MSc in AI, Computer Science, or related field; strong Python skills and deep learning experience required.
- Other info: This is an 18-month fixed-term contract funded by the Wellcome Trust.
The predicted salary is between 32400 - 38700 £ per year.
Research Assistant in Computer Vision and Biomedical Imaging
Join to apply for the Research Assistant in Computer Vision and Biomedical Imaging role at King\’s College London
Research Assistant in Computer Vision and Biomedical Imaging
Join to apply for the Research Assistant in Computer Vision and Biomedical Imaging role at 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.
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
- Have MSc in Artificial Intelligence, Biomedical Engineering, Computer Science, Bioinformatics, Chemoinformatic or another related area.
- Excellent programming skills in Python.
- 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
- Experience in developing deep learning models
- Ability to manage own academic research and associated activities
Desirable criteria
- Experience in dealing with large image data
- Experience of contributing to reports and articles for publication
- Strong interest in biomedical applications.
- Experience of working in a research team and contributing ideas for new research projects
- 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.
Grade and Salary: £38,482 – £43,249 per annum including London Weighting Allowance
Job ID: 119466
Close Date: 06-Aug-2025
Contact Person: Dr Heba Sailem
Contact Details: Heba.sailem@kcl.ac.uk
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Research Assistant in Computer Vision and Biomedical Imaging employer: King's College London
Contact Detail:
King's College London Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Research Assistant in Computer Vision and Biomedical Imaging
✨Tip Number 1
Familiarise yourself with the latest advancements in computer vision and biomedical imaging. This will not only help you understand the role better but also allow you to engage in meaningful conversations during interviews, showcasing your passion and knowledge.
✨Tip Number 2
Network with professionals in the field by attending relevant conferences or webinars. Engaging with experts can provide insights into the research landscape and may even lead to valuable connections that could support your application.
✨Tip Number 3
Consider contributing to open-source projects related to AI and healthcare. This hands-on experience will not only enhance your skills but also demonstrate your commitment to the field, making you a more attractive candidate.
✨Tip Number 4
Prepare to discuss your previous research experiences and how they relate to the role. Be ready to explain your thought process and the impact of your work, as this will highlight your ability to contribute effectively to the Sailem Group's mission.
We think you need these skills to ace Research Assistant in Computer Vision and Biomedical Imaging
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your MSc in a relevant field and showcases your programming skills in Python. Emphasise any experience with deep learning models and biomedical applications, as these are crucial for the role.
Craft a Strong Supporting Statement: In your supporting statement, clearly address how you meet the essential criteria listed in the job description. Use specific examples from your past experiences to demonstrate your skills and achievements.
Showcase Communication Skills: Since excellent communication skills are essential, include examples of your written work, such as reports or publications. Mention any presentations you've given, especially related to research proposals or results.
Highlight Team Collaboration: Discuss your experience working in research teams and contributing ideas for new projects. This will show that you can collaborate effectively with multidisciplinary teams, which is a key aspect of the role.
How to prepare for a job interview at King's College London
✨Showcase Your Technical Skills
Make sure to highlight your programming skills in Python and any experience you have with deep learning models. Be prepared to discuss specific projects where you've applied these skills, especially in the context of computer vision or biomedical imaging.
✨Demonstrate Your Communication Abilities
Since excellent communication is essential for this role, practice articulating your research ideas clearly. Prepare to explain complex concepts in a way that is accessible, as you may need to present your findings to both technical and non-technical audiences.
✨Familiarise Yourself with Multimodal Learning
Given the focus on integrating diverse data types, brush up on multimodal learning techniques. Be ready to discuss how you would approach tasks involving different data modalities, such as medical imaging and genomics, and how they can be combined to uncover insights.
✨Prepare Questions About the Research Environment
Show your enthusiasm for the role by preparing thoughtful questions about the Sailem Group's research projects and collaborations. This demonstrates your genuine interest in their work and helps you assess if the environment aligns with your career goals.
