Role overview
We are seeking a technically strong, impact-driven Data Scientist with experience building ML-based predictive products and advanced analytics (including LLM based) in real-world environments. In this role, you will work with diverse and complex healthcare datasets—EHR, scheduling, billing, claims, structured & unstructured clinical data—to design, train, and deploy machine learning models that directly influence patient care, operational performance, and clinical efficiency.
This is a high-ownership, hands-on role where you’ll help shape our intelligent data platform, build production-ready features, experiment with models, and collaborate with engineering teams to deploy AI products. If you enjoy solving messy, high-impact healthcare problems using AI, this role is for you.
*Key Responsibilities
Machine Learning & Predictive Analytics**
- Develop and deploy AI/ML models that power key products such as:
- Procedure Appropriateness
- Patient no-show prediction
- Appointment optimization
- Clinical risk stratification
- Patient adherence forecasting
- Provider utilization and throughput prediction
- Perform feature engineering using clinical, operational, and financial data.
- Experiment with algorithms (tree-based models, GLMs, ensemble methods, NLP, deep learning where appropriate).
- Evaluate models using rigorous statistical and ML performance metrics.
- Collaborate with ML Engineering to productionize models on Azure
What we're looking for
- Exposure to Prompt Engineering and working with LLMs (Open AI, Anthropic Claude)
- Exposure to NLP for clinical text.
- Experience with Azure Data Factory, Azure Functions, Azure Open AI
- Experience deploying or operationalizing ML models (Azure ML ideal).
- Master’s degree in Data Science, CS, Statistics, Biomedical Informatics, or related field.
- Familiarity with HIPAA, PHI handling, and healthcare data governance.
- Production-ready ML models that drive measurable improvements in clinical operations.
- High-quality datasets, features, and reproducible pipelines powering our AI platform.
- Actionable insights that influence patient outcomes and reduce operational friction.
- Ability to independently drive complex data projects end-to-end with minimal supervision.
What Sets Us Apart:
Our team is mission-driven and united by a common purpose: healing humanity through a revolutionary transdisciplinary model. The model addresses the quadruple aim of healthcare: enhancing patient experience, improving patient health, reducing healthcare costs, and increasing employee satisfaction. We thrive on collaboration, and each member is a self-starter, empowered to unblock themselves and move forward with confidence. If you are passionate about impacting healthcare, enjoy taking initiative, and are comfortable with ambiguity, you’ll find a great fit with us.