Mayo Clinic Healthcare London ยท 2 weeks ago
Data Scientist - Research Sovereign AI
Mayo Clinic is a top-ranked healthcare provider dedicated to putting the needs of the patient first. They are seeking a senior Data Scientist for Foundational Model Science to lead the design, training, and governance of a multimodal foundational model used across clinical departments and research initiatives.
Responsibilities
Design multimodal foundational model architectures integrating signals from imaging, text, waveforms, structured data, graph representations, and temporal embeddings
Develop fusion, alignment, and cross-modal reasoning mechanisms (early fusion, late fusion, token-level fusion, hybrid models)
Define and implement methods for grounded clinical reasoning, retrieval-augmented inference, graph-augmented attention, and chain-of-thought verification
Establish protocols for model lifecycle governance, safe update cycles, drift-aware re-training, and provenance tracking
Train large-scale deep learning models, including multimodal architectures and domain-specific transformer-based systems, on real clinical datasets
Fine-tune and adapt large language models (LLMs) for clinical reasoning, summarization, question answering, agentic behavior, and instruction-following tasks
Build retrieval-augmented pipelines using embeddings, vector stores, graph traversal, and clinically grounded context construction
Develop evaluation methods for reasoning quality, temporal prediction accuracy, multimodal synergy, ablation-based robustness, and counterfactual behavior
Create reference-grounded training datasets, structured reasoning tasks, and multimodal benchmarks to evaluate model performance
Conduct hands-on experimentation with optimization strategies, large-scale distributed training, model quantization, and inference acceleration
Implement uncertainty modeling, selective prediction, abstention mechanisms, and clinically meaningful risk thresholds
Build interpretable reasoning pathways, cross-modal attribution maps, and reference-grounded explanations
Work closely with the Representation team to ensure representation-model alignment
Partner with clinical SMEs to encode domain reasoning into reinforcement learning, preference optimization, or rule-guided behaviors
Serve as the future founding technical lead of the Foundational Model Science Program
Mentor scientists and engineers and eventually build a specialty modeling team
Qualification
Required
PhD in Machine Learning, Computer Science, Applied Mathematics, or related discipline with at least four years of informatics, Artificial Intelligence, data science and/or machine learning
Experience with generative modeling, reasoning models, or multimodal foundation models
Expertise in alignment methods (contrastive learning, RLHF/RLCS, preference optimization)
Experience with distributed training, and large-scale compute
Preferred
Experience with clinical or EMR data across multiple modalities
7+ years experience training deep learning models, including transformers or multimodal architectures
Experience defining evaluation frameworks for reasoning, multimodal synergy, reliability, or fairness
Publications in multimodal learning, foundation models, or reasoning architectures
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.
Funding
Current Stage
Growth StageCompany data provided by crunchbase