Research Associate Data Scientist

Location: Hammersmith

About the role:

This is a unique opportunity for an early career biomedical engineer wishing to develop their research with a multidisciplinary focus, working at the intersection of Artificial Intelligence, data science and biomedical modeling. 

You will be part of CVD Net and will work collaboratively with other institutions including the Alan Turing Institute, University of Sheffield and University of Nottingham to design and build cardiac digital twins from health data to accurately track changes to disease progression and responses to treatment for patients with pulmonary arterial hypertension (PAH).

You will also be part of the Cardiac Electro-Mechanics Research Group (CEMRG) at Imperial College London which applies statistical, machine learning and simulation approaches to combine experimental and clinical data with physics and biology to study the physiology, pathology, diagnosis and treatment of the heart.

What we are looking for:

• A PhD in (or equivalent experience) in Computer Science, Data Science, AI/ML, Computational Biology, or a related field
• Knowledge, first-hand experience, and technical proficiency of computational modeling techniques in healthcare or biomedical sciences, cloud-based computing and in programming languages such as Python.
• Experience in publishing open-source software and contributing to projects. 

This is an exciting opportunity to work in a dynamic, multidisciplinary environment at the forefront of AI-driven biomedical research, combining computational modeling, clinical data science, and artificial intelligence to develop digital twins that improve our understanding of cardiovascular health and disease, ultimately leading to more personalized and effective treatments.

You will be excellent and ambitious and will use the ample opportunities available at Imperial College to further progress toward a fellowship (through grant applications, with institutional support).  

What you would be doing:

In this post, the you will work at the interface of artificial intelligence, data science, and biomedical modeling by support the development of data management pipelines and the application of large language models (LLMs).

Your role involves building AI-driven pipelines to extract, clean, and structure data from scientific literature and clinical datasets for model calibration. This work supports the development of digital twins to enhance cardiovascular health research and improve personalized treatments.

This role will support accelerating the creation and validation of cardiac digital twins by improving the efficiency and accuracy of data acquisition, integration, and utilization.

You will collaborate with clinicians, engineers, and data managers to ensure that the data aligns with the the needs of research and clinical applications.

What we can offer you:

• Supporting you in developing your career into an independent researcher at a world-leading institution
• Working with the Cardiac Electro-Mechanics Research group led by Prof. Steven Niederer
• Sector-leading salary and remuneration package (including 39 days off a year)

Further Information

The post is full time, fixed term until 31/08/2028 and the possibility of an extension.   The post is available immediately and will be based within the National Heart and Lung Institute on the Hammersmith Campus.  This post is computer based so there is opportunity for hybrid working, you are expected to be in site a minimum 3 days a week as per university policy.

If you require any further details on the role, please contact:

Prof. Steven Niederer s.niederer@imperial.ac.uk                       

If you encounter any technical issues while applying online, please don't hesitate to email us at support.jobs@imperial.ac.uk. We're here to help.

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