About this role
About the role:
The Research Assistant will join an international interdisciplinary team funded through the British Heart Foundation Programme Grant (My Heart Counts). The role focuses on developing and maintaining data pipelines for smartphone, wearable, molecular and clinical datasets to advance early detection and monitoring of pulmonary arterial hypertension. You will work closely with computational scientists, clinicians, biologists and international collaborators including Stanford, Cambridge and Sheffield, contributing to new AI models and translational research across NHS and academic sites.
What you would be doing:
Support and develop data pipelines for My Heart Counts smartphone app data and integrate with biological (omics), clinical and environmental datasets; manage cloud resources (Google Cloud) and ensure data integrity and reliability; assist researchers across institutions with data queries and troubleshooting; perform descriptive and quantitative data analyses and maintain accurate records; support preparation of reports for sponsors and contribute to publications; present work at internal meetings, conferences and workshops; provide guidance to staff and students and contribute to grant bids.
What we are looking for:
MSc in Computer Science or closely related field (statistics, physics, biomedical engineering). Experience communicating with multidisciplinary researchers. Practical experience with large-scale real-world time-series data. Experience with clinical or biological datasets. Practical experience with Python and SQL. Knowledge of wearable, molecular and health data. Knowledge of research methods and statistical procedures. Ability to organise work independently and take initiative. Strong written and verbal communication skills. Advanced computing skills including cloud services.
What we can offer you:
This role offers an excellent opportunity to contribute to a high-profile, interdisciplinary research programme at the interface of AI, medicine, and molecular biology. As part of this position, you will benefit from:
Work within Imperial’s NHLI, a world-leading centre in cardiopulmonary research. Collaborate with major academic partners and industry (e.g., Google, Apple, NHS, HDRUK/BHF Data Science Centre). Engage in cutting-edge AI and data-driven translational research. Professional development, conference participation and interdisciplinary training. A supportive environment that values excellence, integrity, innovation, respect and collaboration.
Further Information
Expected start date 1st May, 2026. Full-time, fixed-term appointment for 2 years in the first instance, with the possibility of extension based on project progress and funding availability
If you require any further details on the role please contact: Allan Lawrie [[email protected]]