Research Assistant in Machine Learning for Clinical Trials

The Research Assistant will support the setup, management, and analysis of clinical trial datasets, applying machine learning methods to enhance study design, data quality, and health outcome modelling. Working closely with clinical and research teams, the role ensures robust data workflows and contributes to the development of analytical tools that strengthen our capacity to initiate and deliver new clinical studies. This dedicated post provides continuity and technical expertise for ongoing and future clinical research programmes.

You will support the setup, curation, and analysis of clinical trial datasets, applying statistical and probabilistic modelling, and machine learning methods to extract high-quality insights that inform study design and clinical outcomes. Working closely with clinicians and researchers, you will develop reproducible data pipelines, perform statistical and ML modelling, and contribute to interpreting results that guide ongoing and future trials. You will also help establish robust data workflows and study designs that strengthen our capacity to launch and deliver new clinical studies.

We are looking for a highly motivated researcher with an MSc in biosciences, neuroscience, computer science, or a closely related discipline, and a solid grounding in clinical studies, as well as expertise in research methods and statistical analysis. You should bring practical experience in a research environment, a track record of high-quality publications in international peer-reviewed journals, and the ability to organise your work independently while contributing effectively to a collaborative team. We value creative problem-solving, scientific curiosity, and the ability to drive high-quality research in a fast-moving clinical and data-science setting.

A highly collaborative, multidisciplinary research environment working at the forefront of machine learning for healthcare, including projects on dementia care, digital health, EHR analytics, generative models, and time‑series modelling. 
Opportunities to contribute to impactful clinical and translational research, with access to real-world clinical datasets, cutting-edge tools, and active collaborations across engineering, medicine, and AI. 
Training, mentorship, and career development within a supportive team, including involvement in publications and conference presentations.
The opportunity to continue your career at a world-leading institution and be part of our mission to continue science for humanity.
Grow your career: gain access to Imperial’s sector-leading as well as opportunities for promotion and progression.
Sector-leading salary and remuneration package (including 41 days off a year and generous pension schemes).
Be part of a diverse, inclusive and collaborative work culture with various and resources to support your personal and professional .