Advancing Cancer Care: The Sailem Group’s Mission and Opportunities

Who We Are

The Sailem Group is at the forefront of innovation in cancer research, bringing together a dynamic team of multidisciplinary experts focused on leveraging the power of computational and artificial intelligence (AI) technologies. Our primary mission is to enhance cancer care by developing cutting-edge methodologies that integrate deep learning, computer vision, and bioinformatics. By synthesizing insights from complex multi-modal data—including medical imaging, genomics, and clinical records—we aim to drive transformative changes in cancer diagnosis and treatment protocols.

Our Research Focus

A cornerstone of our research is the discovery of predictive biomarkers that can personalize cancer treatment. Our approaches emphasize not only the accuracy and effectiveness of our AI models but also their explainability, robustness, and clinical relevance. We need to ensure that our solutions are reliable and impactful for healthcare professionals and patients alike. This focus helps bridge the gap between abstract AI concepts and tangible clinical applications.

Join Us: A Unique Role Awaiting You

By becoming a part of our team, you’ll gain firsthand experience working with genuine biomedical datasets that have the potential to reshape how the medical community approaches cancer treatment. This role is a unique opportunity to design, develop, and apply state-of-the-art machine learning techniques, such as vision transformers (ViTs), graph neural networks (GNNs), and vision-language models (VLMs). These cutting-edge tools will enable you to engage in advanced multimodal learning tasks, where you’ll integrate diverse data types to unveil predictive and explainable biomarkers of cancer progression and treatment responses.

Collaboration and Community

One of the most exciting aspects of working in the Sailem Group is our collaborative environment. You’ll work closely with a talented and diverse group of researchers and clinicians, collaborating with external experts in oncology, computer vision, and bioinformatics. This collaboration enriches the research process and provides opportunities to contribute to the entire research pipeline—from ideation and model development to experimental design and dissemination of findings. We believe that collaboration fosters creativity and drives impactful outcomes, particularly in such a vital field as healthcare.

Who We Are Looking For

We are on the lookout for candidates who are not just technically proficient but are also enthusiastic about making a meaningful difference in healthcare through AI. An ideal candidate will possess a Master’s degree in a relevant field, such as Artificial Intelligence, Biomedical Engineering, Computer Science, or Bioinformatics. Moreover, excellent programming skills in Python are essential for the role. Strong communication skills are vital as well, enabling you to present research findings, articulate proposals, and represent our group at various meetings.

Essential Skills and Experience

Here’s a snapshot of the essential criteria for potential candidates:

1. Master’s degree in a relevant field.
2. Proficient programming skills in Python.
3. Strong written and oral communication skills.
4. Experience in developing deep learning models.
5. Ability to manage and conduct independent academic research.

Desirable Qualities

In addition to the essential skills, we value candidates who bring additional expertise to our group:

1. Familiarity with large image datasets.
2. Previous experience contributing to reports and academic publications.
3. A strong interest in biomedical applications.
4. Background in team collaborations and idea generation for new research projects.
5. Experience in Natural Language Processing and multi-modal data integration.

Application Process and Community Commitment

We pride ourselves on our inclusive and welcoming culture. We celebrate diversity and strive to create an environment where everyone feels they belong. Our commitment is not just about demographics; it’s about creating connections within our community.

To apply, candidates should submit a CV along with a supporting statement that outlines how they meet the essential criteria. Since we may prioritize desirable criteria based on the pool of candidates, it’s beneficial to highlight experience relevant to these areas.

You’ll find more detailed information regarding the role, including the job description and relevant application criteria, once you click on “Apply Now.” Additionally, we encourage potential applicants to review our recruitment process on our dedicated webpage to get insights into how managers assess applications.

Position Details

• Grade and Salary: £38,482 – £43,249 per annum (inclusive of London Weighting Allowance)
• Job ID: 119466
• Close Date: 06-Aug-2025
• Contact Person: Dr. Heba Sailem
• Contact Details: Heba.sailem@kcl.ac.uk

In summary, the Sailem Group offers a remarkable opportunity to engage in groundbreaking research that promises to make significant waves in cancer diagnosis and treatment. If you’re passionate about innovation in AI for healthcare and eager to be part of a creative, impactful research environment, we encourage you to apply.