Research Scientist, Medical World Models

🔥 48 minutes ago

🌐 United States, Canada – Remote

🇺🇸 United States – Remote 🇨🇦 Canada – Remote

⏰ Full Time

🟢 Junior

🧬 Research Scientist

👻 Ghost score 15%

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Function Health

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2022

🏥 Healthcare

👥 B2C

🔥 Funding within the last year

💰 $450M Debt Financing on 2026-07

Healthcare • B2C

Function Health is a consumer-focused healthcare company that provides comprehensive, subscription-based diagnostic testing and imaging services. For $365/year it offers 160+ lab tests (performed at 2,000+ labs or via mobile phlebotomy) and access to MRI/CT imaging, with results explained by physicians and supported by AI and tools to share with clinicians. The service is HSA/FSA-eligible and emphasizes early detection and longitudinal monitoring of hundreds to thousands of conditions through recurring testing and clinician interpretation.

📋 Description

• Design and train models that forecast a member’s next health state from irregularly sampled histories with calibrated uncertainty at clinically meaningful horizons • Develop encoders that unify medical data into fused representations robust to arbitrary missing modalities and transferable to downstream clinical tasks • Build and maintain the evaluation framework, including validation sets, confidence intervals, label-efficiency curves, forecasting metrics, collapse diagnostics, and benchmark registration • Own the training and evaluation codebase end to end, including data loaders, distributed GPU training, experiment tracking, versioned releases, model cards, and licence inventories • Deliver pretrained encoders and forecasters as documented, reproducible artefacts to product-track teams and support clinical validation and hand-off to Engineering and Product Development • Collaborate with the Data Team on dataset specifications and requirements • Design analyses that distinguish predictive from causal claims and make limitations explicit • Work with de-identified data in a PHI-sensitive, regulated environment and document work for regulatory review • Maintain experiment logs, design notes, and retrospectives; publish research at leading ML and medical-imaging venues • Collaborate with ML engineers, Data, Infrastructure, Quality and Regulatory Affairs teams, and clinicians • Help define research reviews, documentation standards, code review, and hiring practices

🎯 Requirements

• PhD in machine learning, computer science, biomedical engineering or a related field with 1-2+ years of professional experience, or MS/BS with 5+ years building and evaluating ML models on real data • Demonstrated depth in at least one of: temporal / longitudinal modelling (sequence models, neural ODE/CDE or state-space models, forecasting with irregular sampling, survival or progression modelling); self-supervised or foundation-model pretraining on medical imaging (3D MRI/CT) or multimodal data; multimodal fusion of imaging with tabular, EHR or biomarker data • Strong Python and PyTorch • Experience training at scale (multi-GPU, large datasets, experiment tracking) and writing code others build on • Rigorous evaluation instincts: statistical thinking, calibration, error analysis, and the habit of asking whether a result would survive a larger validation set • Publication record at top ML or medical-imaging venues (e.g., MICCAI, NeurIPS, ICML, ICLR, CVPR), or equivalent evidence of research output delivered into production • Clear written and verbal communication with technical and clinical audiences

🏖️ Benefits

• Stock options • Comprehensive health, dental, and vision plans for you and your family • Wellness and commuter benefits • Competitive vacation policy • Remote work flexibility • A culture that emphasizes learning, collaboration, and thoughtful engineering

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