Research Associate in Bioinformatics and Data Science - Strand, London, WC2R 2LS

Research Associate in Bioinformatics and Data Science - Strand, London, WC2R 2LS

About us

The Sailem Group is a multidisciplinary research team dedicated to developing computational and AI-driven approaches to enhance cancer patient outcomes. Our work integrates deep learning, computer vision, and bioinformatics to extract meaningful insights from complex biological data.

A key focus of our group is the identification of prognostic and predictive biomarkers from whole slide histopathology images and spatial transcriptomics and proteomics data. By leveraging large-scale datasets, we aim to uncover patterns that can improve cancer diagnosis, prognosis and treatment stratification.

To achieve these goals, we develop advanced machine learning methodologies, particularly weakly supervised learning approaches, to analyze and classify imaging and transcriptomics data. Our research emphasizes explainability and robustness to ensure that AI-driven insights are reliable and clinically relevant.

We collaborate closely with experts in pathology, oncology, and biology to translate our findings into real-world applications. For more information about our research and collaborations, visit the Biomedical AI and Data Science Group website:  .

About the role

We are seeking a highly motivated and skilled Research Associate to join our dynamic and interdisciplinary team, contributing to cutting-edge research at the intersection of cancer biology, artificial intelligence, and biomedical data science. This role offers an exciting opportunity to work at the forefront of cancer research, developing computational approaches to analyze complex biological data and uncover insights that can improve patient outcomes.

The ideal candidate will have a PhD (or be near completion) in Bioinformatics, Computational Biology, Computer Science, Artificial Intelligence, or a related field. Candidates with extensive research or industrial experience will also be considered. You will collaborate closely with both computational and experimental researchers, bridging the gap between AI-driven analysis and biological discovery. Your primary responsibilities will include developing and implementing bioinformatics pipelines, analyzing high-dimensional datasets—including whole slide histopathology images and multi-omics data—and integrating diverse data sources to identify biomarkers and therapeutic targets.

In addition to conducting high-impact research, you will contribute to scientific publications, present findings at conferences, and support grant applications. We are looking for a proactive individual with strong problem-solving skills, excellent teamwork and communication abilities, and a passion for leveraging AI and data science to advance cancer research.

This is a full time post (35 hours per week), and you will be offered a fixed-term contract for an initial period of 18 months, with the possibility of extension.