Research Engineer in Machine Learning for Healthcare
Core
Develop and deploy machine learning solutions for information-driven healthcare, translating research prototypes into robust code for clinical and care-chain data.
Role type
Research Engineer in Machine Learning (Healthcare)
Builds
Deployable ML models and software for the Information Driven Care research program
Domain
Healthcare / Clinical Data / AI
Deliverable
production ML models | product features
Required skills
Deep learning, transformer-based models, Mamba, representation learning, vertical federated learning, time-series analysis, uncertainty quantification, Python, healthcare data modeling, openEHR/FHIR/OMOP standards, data pipeline design, SQL/ETL
Preferred skills
Multimodal data fusion, sequential/trajectory modeling, graph-based learning, explainable AI, causal inference, privacy-preserving ML, high-tier AI/ML publications
Technologies
Python, openEHR, FHIR, OMOP, Mamba, transformers
Responsibilities
Translate research prototypes into deployable code; design and implement ML solutions for clinical data; work with healthcare interoperability standards; perform data science experiments and trajectory modeling; design and maintain data pipelines; support code review and validation; collaborate with industry and municipal stakeholders; contribute to university teaching
Seniority
Mid-level Research Engineer