Research Associate in Health Data Analytics
Develop and maintain AI-driven data pipelines for early detection and monitoring of pulmonary arterial hypertension using cloud-based health datasets.
Best for:Best for data scientists, computational biologists, or engineers with expertise in cloud platforms (Google Cloud), Python, SQL, and experience in health data integration and AI-driven analytics.
Overview
This position offers a Research Associate opportunity at Imperial College London’s National Heart & Lung Institute to develop and maintain Google Cloud Platform pipelines for integrating smartphone, wearable, molecular, and clinical datasets. The role focuses on advancing AI models for early detection and monitoring of pulmonary arterial hypertension, collaborating with computational scientists, clinicians, and international partners. The successful candidate will work on large-scale data analysis, cloud resource management, and interdisciplinary research projects, contributing to translational medicine and grant-funded initiatives. The position is part-time (2 hours per week) and fixed-term for 2 years, with potential extension based on project progress.
What you'll do
- Develop and maintain data pipelines on Google Cloud Platform for integrating smartphone, wearable, molecular, and clinical datasets.
- Ensure data integrity, reliability, and security in large-scale health datasets.
- Perform descriptive and quantitative data analyses to support research objectives.
- Collaborate with multidisciplinary teams to troubleshoot data queries and support research projects.
- Prepare reports for sponsors and contribute to academic publications and conference presentations.
- Provide guidance to students and staff on data management and analysis techniques.
- Support grant bid preparation and contribute to interdisciplinary research initiatives.
Requirements
Degree required: PhD or equivalent in Computer Science, Statistics, Physics, Biomedical Engineering, or a closely related field. Candidates without an officially awarded PhD may be appointed as a Research Assistant with a salary range of £45,399–£48,876 per annum.
Language: English; proficiency required for academic collaboration and reporting
Instruction: English
- Experience with Google Cloud Platform (Firebase, BigQuery)
- Proficiency in Python and SQL for data analysis and pipeline development
- Knowledge of wearable, molecular, and health data integration
- Familiarity with research methods and statistical procedures
- Experience working with large-scale real-world time-series data
- Experience with clinical or biological datasets
- Strong ability to organize work independently and take initiative
- Advanced computing skills including cloud services
- No specific nationality or residency restrictions mentioned
- Open to candidates with or without an officially awarded PhD (with adjusted salary for PhD candidates)
Funding & terms
How to apply
Deadline: 2026-10-20
Applicants should submit their CV, cover letter, and any relevant academic or professional documents through the Imperial College London job portal. Ensure your application highlights your experience with Google Cloud Platform, Python, SQL, and health data integration. Contact Allan Lawrie at a.lawrie@imperial.ac.uk for further details.
- CV
- Cover letter
- Academic or professional documents (e.g., PhD certificate if applicable)
Contact
Allan Lawrie· Contact Person
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