Mayo Clinic Healthcare London · 2 weeks ago
Senior Principal AI/ML Engineer - Research Sovereign AI
Rochester, MN, United States
Full-time
Onsite
Senior Level, Lead/Staff
$175K/yr - $263K/yr
9+ years expMayo Clinic is a top-ranked healthcare provider known for its commitment to patient care and employee development. They are seeking a Senior Principal AI/ML Engineer to lead the design and implementation of a multimodal EMR representation AI architecture, driving innovation in AI representation and model development within the healthcare domain.
Responsibilities
Design and implement Mayo’s multimodal EMR representation AI architecture, including text, imaging, waveform, structured data, temporal sequences, and multi-visit trajectories
Develop graph-based representations and knowledge graphs linking patients, events, attributes, clinical concepts, and embeddings
Integrate graph reasoning, vector similarity search, and hybrid vector–graph pipelines for retrieval-augmented models and agentic reasoning
Define standards for temporal modeling, drift-aware embeddings, and sequence alignment across encounters
Build large-scale embedding pipelines using transformer-based models, contrastive learning, graph neural networks, and hybrid architectures
Implement efficient query layers using vector stores and graph databases
Develop interpretable embedding diagnostics, attribution tools, and graph-based audits to enable safe clinical use
Explore and implement methods for explaining similarity, graph traversals, temporal evolution, and patient-neighborhood reasoning
Work with AI researchers on specialty-specific embeddings, representation refinement, and research prototypes
Collaborate with clinicians to operationalize clinically meaningful features, phenotypes, and longitudinal concepts
Provide scientific input to the Foundational Model Science Program to ensure alignment between representations and model architectures
Serve as founding technical lead of the Reasoning EMR Representation team
Mentor junior scientists and engineers; build a future team specializing in representation learning and graph-based reasoning
Qualification
Required
Master's in Computer Science, Machine Learning, Biomedical Engineering, or related field. 9 years of relevant experience, or a bachelor's degree with 11 years of relevant experience
Extensive (9+ years) experience applying AI and machine learning in production healthcare environments or similar highly regulated or technology focused industries, showcasing an acute understanding of healthcare technology
Hands-on expertise with graph databases, and knowledge graph construction
Strong experience with transformer-based models, contrastive learning, and temporal modeling
Experience designing or deploying vector search systems and hybrid vector–graph reasoning pipelines
Preferred
PhD or Master's in Computer Science, Machine Learning, Biomedical Engineering, or related field
10+ years experience building production ML systems, including multimodal architectures and representation learning
Experience with EMR data, healthcare multimodality, or clinical data integration
Experience building patient similarity models, temporal embedding systems, or phenotype discovery pipelines
Strong background in explainability, causality, or interpretable ML
Prior experience in a player–coach or team-lead role
Benefits
Medical: Multiple plan options.
Dental: Delta Dental or reimbursement account for flexible coverage.
Vision: Affordable plan with national network.
Pre-Tax Savings: HSA and FSAs for eligible expenses.
Retirement: Competitive retirement package to secure your future.
Company
Mayo Clinic Healthcare London
Located in the Harley Street District in London, Mayo Clinic Healthcare offers an array of services, including Executive Health Assessments, GP Services, Outpatient Cardiology, Cardio-thoracic, Respiratory, Neurology and Neurosurgery, Colorectal, Gastroenterology, General Internal Medicine, Orthopaedic, Rheumatology and Endocrinology specialist consultations.
51-200 employees
Funding
Current Stage
Growth StageCompany data provided by crunchbase