Tech - Staff Data Scientist, Clinical Data +
About The Position
Onpoint Healthcare Partners builds Iris, a Medical Agent AI platform that takes administrative work off the plates of providers and care teams. Our agents handle charting, coding, care gap closure, and care coordination across the full patient journey, and customers trust them because we hold the platform to clinical accuracy standards and back them up with evidence. That trust is earned with data. We are seeking a Staff Data Scientist to be the person who proves our AI is right. You will drive data science, analytics, and AI evaluation across our clinical and operational platforms: measuring agent quality, building the evaluation frameworks behind our accuracy standards, and analyzing claims, clinical, and EHR data to find opportunities to improve outcomes, quality, and operational efficiency. The ideal candidate understands healthcare data at scale and partners closely with Product, Engineering, Clinical Operations, and AI teams.
Requirements
- 7+ years of experience in Data Science, Analytics, Machine Learning, or a related field.
- Strong experience working with healthcare data including claims, clinical, EHR, or population health datasets, with familiarity with standards such as HL7, FHIR, and ICD-10.
- Strong proficiency in SQL and Python.
- Experience evaluating AI and ML systems and defining quality metrics.
- Strong foundation in statistics, experimentation, and predictive modeling.
- Ability to communicate insights clearly to business and technical stakeholders.
- Working knowledge of HIPAA and PHI handling requirements.
Nice To Haves
- Advanced degree in Data Science, Statistics, Applied Mathematics, Computer Science, or a related field.
- Experience with vector databases, RAG systems, embeddings, or knowledge graphs.
- Experience in healthcare AI, risk adjustment, quality measurement, or clinical operations.
Responsibilities
- Analyze claims, clinical, EHR, and operational datasets to identify trends, risks, and opportunities.
- Apply healthcare data standards and vocabularies such as HL7, FHIR, ICD-10, CPT, SNOMED, and LOINC when normalizing and linking data.
- Develop statistical models and analytical frameworks to support product and business decisions.
- Design and maintain AI evaluation frameworks including rubrics, golden datasets, benchmark suites, and regression testing.
- Measure AI agent quality, accuracy, precision, recall, and business impact.
- Conduct exploratory data analysis and communicate findings to technical and business stakeholders.
- Partner with clinical and operational teams to define meaningful success metrics.
- Support data quality initiatives and ensure reliability of data used for analytics and AI systems.
- Apply advanced SQL, Python, statistics, and machine learning techniques to solve business problems.
- Protect PHI in all data handling and ensure compliance with regulatory requirements.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
