The main objective of this post-doctoral research associate position is to develop and implement advanced machine learning methods for constructing latent spaces for multi-modal data integration, connecting molecular and imaging patterns favourable for checkpoint blockade immunotherapy (CBI) in non-small cell lung cancer (NSCLC). Additionally, the post-holder will work on using causal representation learning to develop counterfactual explanations for imaging biomarkers in NSCLC CBI.
The post-holder will be a core scientist on the project, which is led by Dr Mitch Chen, MRC Clinician Scientist and Consultant Radiologist.
What you would be doing
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You will carry out research programmes in machine learning as applied to lung cancer precision oncology, including:
Constructing and implementing latent space representations for imaging-molecular data integration.
Exploring causal representation learning to develop counterfactual explanations for imaging biomarkers in NSCLC CBI.
Developing explainable imaging biomarkers for NSCLC CBI, and testing them in multi-centre datasets from collaborating centres and publicly available sources.
Investigating the identifiability of causal-based frameworks.
You will work with molecular readouts (spatial transcriptomics and mutational panel data) from lung cancer tissue, liquid biopsy samples, clinical, and multi-modal medical imaging data.
What we are looking for
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The candidate should have a PhD in computer science, information engineering, mathematics, physics, or a closely related discipline, with a strong background in machine learning research, including coding proficiency (Python, R). The candidate is expected to have a good track record of self-driven research work (either independent or under indirect supervision), excellent verbal and written communication skills, and ideally, experience working in a healthcare research setting.
What we can offer you
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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 dedicated career support for researchers as well as opportunities for promotion and progression.
Sector-leading salary and remuneration package (including 39 days off a year and generous pension schemes).
Be part of a diverse, inclusive and collaborative work culture with various staff networks and resources to support your personal and professional wellbeing.
Further information
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The position will be hosted at the Department of Surgery and Cancer, Faculty of Medicine, Imperial College London at the Hammersmith campus.
The duration of the post is
two years
. The expected starting date is 1st Aug 2025.
If you require any further details about the role, please contact: Dr. Mitch Chen - mitchell.chen@imperial.ac.uk
Available documents
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Attached documents are available under links. Clicking a document link will initialize its download.
Please note that job descriptions are not exhaustive, and you may be asked to take on additional duties that align with the key responsibilities mentioned above.
We reserve the right to close the advert prior to the closing date stated should we receive a high volume of applications. It is therefore advisable that you submit your application as early as possible to avoid disappointment.
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About Imperial
Welcome to Imperial, a global top ten university where scientific imagination leads to world-changing impact.
Join us and be part of something bigger. From global health to climate change, AI to business leadership, here at Imperial we navigate some of the world's toughest challenges. Whatever your role, your contribution will have a lasting impact.
As a member of our vibrant community of 22,000 students and 8,000 staff, you'll collaborate with passionate minds across nine London campuses and a global network.
This is your chance to help shape the future. We hope you'll join us at Imperial College London.
Our Culture
We work towards equality of opportunity, to eliminating discrimination, and to creating an inclusive working environment for all. We encourage applications from all backgrounds, communities and industries, and are committed to employing a team that has diverse skills, experiences and abilities. You can read more about our commitment on our webpages.
Our values are at the root of everything we do and everyone in our community is expected to demonstrate respect, collaboration, excellence, integrity, and innovation.
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