Enable job alerts via email!
Boost your interview chances
Create a job specific, tailored resume for higher success rate.
An established industry player offers a unique post-doctoral fellowship in cardiac imaging, focusing on machine learning and data science. This role provides a remarkable opportunity to contribute to groundbreaking research while maintaining clinical competencies. The fellowship supports the development of a competitive research proposal and offers a structured mentorship program. With a commitment to fostering a diverse and inclusive environment, this position is ideal for those looking to make a significant impact in clinical translational medicine. Join a world-leading institution and advance your career in a supportive, innovative setting.
Social network you want to login/join with:
Client: Imperial College London
Location: London, United Kingdom
Job Category: Other
EU work permit required: Yes
Job Reference: e43e1b446449
Job Views: 2
Posted: 13.04.2025
Expiry Date: 28.05.2025
The Chain Florey “Transition-to-Independence (TTI)” post-doctoral research fellowship provides funding for salary, consumables and technical support for clinician scientists who have recently achieved or are about to achieve completion of clinical training (CCT).
This fellowship supports those actively engaged in mechanistic discovery science and/or experimental medicine. They will receive funding for up to 36 months for the development of an externally funded intermediate clinician scientist research proposal including the generation of preliminary data. Drawing on the research strengths of the LMS, the Chain Florey TTI Fellowship addresses an important gap in clinical academic career progression, the challenge clinician scientists face post-CCT when they are no longer eligible for clinical lecturer posts but are not yet competitive for 5-year clinician scientist fellowships awarded by governmental or charitable funders.
This post is tailored for applicants who have a research interest in developing machine learning or data science approaches for patient stratification and genetic association analyses using cardiac magnetic resonance imaging in biobank populations. Successful applicants will work with Prof Declan O’Regan, in the Computational Cardiac Imaging Group, as part of a British Heart Foundation funded program of research on “Understanding the transition from health to disease through imaging-genetics”.
The role provides post holders with protected research time (80% research; 20% clinical time for maintenance of competency) to develop a highly competitive application to national governmental and/or charitable funders underpinned by preliminary data. A full mentorship programme will be provided to support the Fellow. This opportunity is aimed at individuals who fulfil the essential requirements listed in the person specification and show outstanding potential to become a leader in clinical translational medicine.
Applicants must have been awarded a PhD and hold a CCT or will obtain CCT within the next 12 months (or equivalent) at the time of application. Awards are up to 3 years duration undertaking full time research, with the option of maintaining clinical work during 1 day per week (with the expectation that there will be an Honorary Consultant contract from the Imperial College Healthcare or other NHS Trust).