Research Associate in Health Data

This is a part time role (21 h/w) the part time salary will be pro-rata of the full time salary stated (£50,733 -£59,484)

The Research Associate will join an international interdisciplinary team funded through the British Heart Foundation Programme Grant (My Heart Counts). The role focuses on developing and maintaining Google Cloud Platform 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.

Support and develop data pipelines for My Heart Counts smartphone app data and integrate with clinical, biological (omics), 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.

• PhD or equivalent experience in Computer Science or closely related field (statistics, physics,biomedical engineering).

* Candidates who have not yet been officially awarded their PhD will be appointed as a Research Assistant within the salary range £45,399 - £48,876 per annum

• Experience with the Google Cloud Platform (Firebase, Big Query)
• Practical experience with Python and SQL.
• Knowledge of wearable, molecular and health data.
• Knowledge of research methods and statistical procedures.
• Experience communicating with multidisciplinary researchers.
• Practical experience with large-scale real-world time-series data.
  
  Experience with clinical or biological datasets.

• Ability to organise work independently and take initiative.
• Strong written and verbal communication skills.
• Advanced computing skills including cloud services.

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.

This is a part time (21 h/w) and a fixed-term (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 []

Attached documents are available under links. Clicking a document link will initialize its download.

• download:
  Research Associate in Health Data JD.pdf
• download:
  Employee Benefits Booklet - V2.

Please note that job descriptions are not exhaustive, and you may be asked to take on additional duties that align with the key responsibilities mentioned above.

We reserve the right to close the advert before the stated closing date, should we receive a high volume of applications. It is therefore advisable that you submit your application as early as possible to avoid disappointment.