Research Associate

About the role:

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:

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:

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:

• 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

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 1^st Aug 2025. 

If you require any further details about the role, please contact: Dr. Mitch Chen – mitchell.chen@imperial.ac.uk

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