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Research Associate in Health Data (AI, Clinical and Wearable Data Pipelines) Imperial College London in United Kingdom
Degree Level
Postdoc
Field of study
Computer Science
Funding
Fixed-term paid staff role funded through the British Heart Foundation Programme Grant (My Heart Counts). Salary is £50,733-£59,484 per annum full-time, pro-rated for part-time 21 hours/week; candidates without an awarded PhD may be appointed as Research Assistant at £45,399-£48,876 per annum.
Deadline
Oct 20, 2026
Country
United Kingdom
University
Imperial College London
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About this position
Research Associate in Health Data at Imperial College London (Faculty of Medicine, National Heart & Lung Institute).
This is a part-time, fixed-term research staff position focused on health data, computer science, artificial intelligence, clinical data, wearable data, molecular/omics data, and cloud computing. The successful candidate will help develop and maintain Google Cloud Platform pipelines for smartphone, wearable, molecular, clinical, and environmental datasets to support early detection and monitoring of pulmonary arterial hypertension.
You will work with an international interdisciplinary team funded by the British Heart Foundation Programme Grant My Heart Counts, collaborating with computational scientists, clinicians, biologists, and partners including Stanford, Cambridge, Sheffield, Google, Apple, NHS, and HDRUK/BHF Data Science Centre.
Key responsibilities include building and supporting data pipelines, managing cloud resources, ensuring data integrity, assisting with data queries and troubleshooting, performing descriptive and quantitative analyses, maintaining records, supporting reports and publications, presenting at meetings and conferences, and contributing to grant bids.
Eligibility highlights: PhD or equivalent experience in Computer Science or a closely related field (statistics, physics, biomedical engineering). Strong experience with Google Cloud Platform (Firebase, BigQuery), Python, SQL, research methods, statistical procedures, large-scale real-world time-series data, and clinical or biological datasets is expected. Strong communication, independence, initiative, and advanced cloud/computing skills are also required. Candidates who have not yet been officially awarded their PhD may be appointed as a Research Assistant.
Funding and terms: This is a paid, fixed-term role for 2 years in the first instance, with possible extension depending on project progress and funding availability. Full-time salary is £50,733-£59,484 per annum, pro-rated for 21 hours/week; alternative Research Assistant salary applies for candidates without an awarded PhD.
How to apply: Submit your application via the Imperial recruitment portal using the Apply now link. The closing date is 20 Oct 2026, though the advert may close earlier if application volume is high. For further details, contact Allan Lawrie at [email protected].
Funding details
Fixed-term paid staff role funded through the British Heart Foundation Programme Grant (My Heart Counts). Salary is £50,733-£59,484 per annum full-time, pro-rated for part-time 21 hours/week; candidates without an awarded PhD may be appointed as Research Assistant at £45,399-£48,876 per annum.
What's required
PhD or equivalent experience in Computer Science or a closely related field such as statistics, physics, or biomedical engineering. Experience with Google Cloud Platform (including Firebase and BigQuery), Python, SQL, research methods, statistical procedures, large-scale real-world time-series data, and clinical or biological datasets is required. Applicants should be able to communicate with multidisciplinary researchers, work independently, take initiative, and have strong written and verbal communication skills with advanced computing and cloud-service skills. Candidates who have not yet been officially awarded their PhD may be appointed as a Research Assistant instead.
How to apply
Apply through the Imperial recruitment portal using the 'Apply now' link. Submit the application before the closing date and apply early if possible because the advert may close sooner if many applications are received. For role-specific questions, contact Allan Lawrie by email.
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