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Research Associate Data Scientist

Salary

46.297 - 56.345 GBP

Min Experience

0 years

Location

Hammersmith Campus

JobType

full-time

About the job

Info This job is sourced from a job board

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. 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). 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 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) for automating literature-based data extraction, facilitating the calibration of computational models for digital twins of the heart. 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 wil collaborate with clinicians, engineers, and data managers to ensure that the data aligns with the the needs of research and clinical applications.

About the company

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.

Skills

artificial intelligence
data science
biomedical modeling
data management
large language models
data extraction
data integration
data calibration