Departments / Healthcare & BioTech
Bioinformatics, medical AI, healthcare analytics, and clinical/biomedical research.
Product-management thinking applied specifically to healthcare-adjacent features — balancing user needs with clinical accuracy and regulatory awareness.
Product management fundamentals · Healthcare-domain literacy · User-story writing · Regulatory awareness + 1 more
Technology applied to population-level health questions — surveillance, outreach, health-education delivery at scale — distinct from clinical/individual-patient work.
Public health fundamentals · Data structuring · Research literature review · Documentation + 1 more
Hands-on analysis of clinical/research datasets — a practical analytics role distinct from our research-track Clinical Research and Biomedical Data Science internships.
SQL · Python/R · Clinical data literacy · Data visualisation + 1 more
A broader healthcare-AI research track alongside our existing Medical AI internship — covering diagnostic support, triage, and clinical-workflow AI applications.
Healthcare AI landscape research · Python · Data structuring · Literature review + 1 more
Every healthcare-adjacent research or content initiative needs sound operational support — coordination, documentation, compliance tracking.
Operations coordination · Documentation · Compliance awareness · Scheduling + 2 more
Biomedical data science applies our reasoning-model and statistical toolkit to biological and clinical datasets — an extension of our core AI research into a domain with real evidentiary standards.
Python (pandas/numpy) · Statistics · Biomedical dataset handling · Data visualisation + 2 more
Health informatics — structuring and standardising health-related data so it can be reasoned over — connects directly to our data-engineering work.
Health data standards awareness (HL7/FHIR concepts) · Data cleaning · SQL basics · Medical terminology basics + 1 more
Digital health sits where our AI-tutoring and assessment research meets health-education content — nutrition, wellbeing, and public-health literacy modules inside AquinTutor.
Digital health landscape awareness · Health literacy design · Basic data structuring · UX research basics + 2 more
Support biomedical research questions relevant to our digital-health and medical-education initiatives.
Biomedical fundamentals · Research methodology · Data analysis basics · Scientific writing
Support clinical-research-adjacent work relevant to our medical-education content, under appropriate academic guidance.
Research methodology · Attention to detail · Scientific writing · Regulatory awareness
Analyse healthcare-education data to surface insights that improve our medical-programme design.
Python/R or SQL · Data visualisation · Healthcare-domain awareness · Analytical thinking
Work on AI applications for healthcare and medical education — a genuinely responsible, high-stakes application area.
Python · Basic ML/AI knowledge · Medical-domain curiosity · Careful, cautious documentation