Senior Data Scientist

📋 Description

• Lead the design, implementation, and optimization of secure, scalable data systems that support
• Develop and maintain foundational healthcare data models and schemas, translating clinical
• Apply healthcare data standards and common data models, including TUVA, OMOP, and FHIR, to
• Build and maintain production-grade data pipelines to ingest, process, enrich, normalize, and
• Map raw healthcare data into standardized models, resolving data quality issues, terminology
• Establish data quality standards, validation frameworks, monitoring systems, and governance

🎯 Requirements

• At least 8 years of dedicated professional experience in data science or data engineering
• Deep, hands-on experience working with healthcare data standards and common data models, including
• Demonstrated experience designing foundational data models and schemas from scratch and translating
• Proven ability to map raw healthcare data into standardized models and resolve data quality
• Direct experience integrating with EMR/EHR platforms, ideally including eClinicalWorks, AthenaOne
• Knowledge of healthcare data regulations and security requirements, including HIPAA and HITRUST, as

🎁 Benefits

• Competitive salary and equity participation in an early-stage startup.
• Opportunity to define and build the technical solution and data architecture from the ground up.
• Potential for a fully remote work environment, with flexible working hours.
• Health benefits.
• Learning stipends and professional development support.
• A collaborative, transparent culture that values creativity, technical ownership, and initiative.