Research Associate in Computational Biology

Imperial College London; London; On-site; GBP 43,000 - 47,000; Full time

Job summary

Imperial College London is seeking a Research Associate in Computational Biology to work on innovative projects involving AI and biomedical modeling. You will collaborate with prestigious institutions to develop digital twins for improving cardiovascular health research, contributing significantly to personalized medicine. This role requires a PhD in relevant fields and offers a competitive salary package, with opportunities for professional development.

Benefits

39 days off a year

Support for career development

Qualifications

• Knowledge and experience in computational modeling techniques.
• Experience with medical imaging and data mapping in research.
• Proficiency in data analysis and interpretation.

Responsibilities

• Work at the interface of AI, data science, and biomedical modeling.
• Facilitate integration of imaging, clinical, and demographic datasets.
• Develop machine learning techniques for simulations.

Skills

Computational modeling techniques

Cloud-based computing

Programming in Python

Data preprocessing

Analysis and interpretation of data

Education

PhD in Biomedical Engineering, Computer Science, Data Science or related field

Job description

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Research Associate in Computational Biology, London

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Client:

Imperial College London

Location:

London, United Kingdom

Job Category: Virtual job fairs Other

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EU work permit required:

Yes

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Job Reference:

2303f1a9a0c0

Job Views:

6

Posted:

02.06.2025

Expiry Date:

17.07.2025

Virtual job fairs

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Job Description:

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. This post is funded by a UKRI Project Grant.

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).

Virtual job fairs

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.

In this post, the you will will work at the interface of artificial intelligence, data science, and biomedical modelling to accelerate the creation and validation of cardiac digital twins. Your work will contribute to the advancement of digital twin technology in healthcare to enhance cardiovascular health research and improve personalized treatments.

You will facilitate the integration of multiple datasets, including imaging, clinical, and demographic information and develop and apply machine learning techniques to accelerate simulations and extract insights from complex model outputs.

• A PhD in (or equivalent experience) in Biomedical Engineering, Computer Science, Data Science, AI/ML, Computational Biology, or a related field

*Candidates who have not yet been officially awarded their PhD will be appointed as a Research Assistant within the salary range £43,003 - £46,297 per annum

• 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 working with medical imaging and/or mapping data in a research environment and proficiency in data preprocessing, analysis, and interpretation
• 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).

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• 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)

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Created on 02/06/2025 by TN United Kingdom