[Remote] Tech - Staff Data Scientist, Clinical Data +
Note: The job is a remote job and is open to candidates in USA. Onpoint Healthcare Partners builds Iris, a Medical Agent AI platform that assists healthcare providers by handling administrative tasks. They are seeking a Staff Data Scientist to drive data science, analytics, and AI evaluation, focusing on improving outcomes and operational efficiency through data analysis and model development.
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
Skills
- 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
- 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
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