Research Associate in Quantitative Biomedical Research
We are looking for a Research Associate to join a three-month research project at the University of Cambridge, focusing on tuberculosis treatment response and patient stratification.
Working within an interdisciplinary team, you will apply quantitative analysis and biomedical engineering approaches to existing clinical imaging and biological datasets. The role will involve investigating patterns of disease and treatment response, assessing the reliability of quantitative measurements and contributing to the identification and interpretation of potential biomarkers.
We welcome applicants with a background in biomedical engineering, physical sciences or related disciplines, with strong analytical and problem-solving skills and an interest in translational medical research. You will join a supportive and collaborative research environment, working closely with clinicians, engineers and scientists.
For questions relating to the post, please contact Dr Gita Khalili Moghaddam, via email on gk320@cam.ac.uk
Closing Date: 18th November 2026
Interview Date: to be confirmed
Please quote reference RR51598 on your application and in any correspondence about this vacancy.
The University actively supports equality, diversity and inclusion and encourages applications from all sections of society.
The University has a responsibility to ensure that all employees are eligible to live and work in the UK.
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Research Associate in Quantitative Biomedical Research in Cambridge employer: University of Cambridge
The University of Cambridge offers a dynamic and collaborative work environment, particularly within the Department of Oncology, where you will play a pivotal role in advancing cancer research. With a strong emphasis on employee growth, you will have access to professional development opportunities and the chance to work alongside leading experts in the field. The university's commitment to innovation and excellence ensures that your contributions will have a meaningful impact on clinical care and research outcomes.
