Data Analyst, Clinical Data Effectiveness (Medtech)
Мэтч & Сопровод
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Описание вакансии
TL;DR
Data Analyst, Clinical Data Effectiveness (Medtech): Ensuring the completeness and reliability of clinical data powering an AI-driven physician platform with an accent on healthcare data interoperability, vendor performance, and data lifecycle management. Focus on mapping facility-specific data across disparate sources, identifying systemic data gaps, and optimizing technical configurations for data vendors.
Location: Remote (Must be based in the USA)
Salary: $77,000 - $100,000 USD
Company
operates Counterpart Health, an AI-powered physician enablement platform that delivers clinical insights to providers at the point of care to improve value-based outcomes.
What you will do
- Act as the Subject Matter Expert for clinical data completeness and effectiveness within the Data Products pillar.
- Monitor healthcare facilities to identify and quantify data gaps in clinical documents such as EHRs and discharge summaries.
- Map and correlate data across structured claims, CCDAs, and ADT messages to uncover systemic patterns of missingness or latency.
- Recommend and guide the implementation of optimal technical configurations for existing data vendors based on rigorous quality analysis.
- Develop a data-driven framework for prioritizing facility targets for direct data acquisition.
- Partner cross-functionally with Product Managers, Engineers, and Clinical teams to validate data quality and clinical utility.
Requirements
- Must be based in the USA.
- 2+ years of hands-on data analytics experience with direct exposure to healthcare data interoperability.
- Strong proficiency in SQL and experience working with large, complex datasets (claims, clinical logs).
- Hands-on experience with healthcare data standards: HL7, CCDA, and ADT messages.
- Experience analyzing interoperability networks (e.g., Carequality, CommonWell, eHealthExchange).
- Ability to present complex findings to both technical and non-technical stakeholders.
Nice to have
- Experience with TEFCA/QHIN frameworks and national interoperability standards.
- Familiarity with vendor platforms such as Bamboo Health, HSX, Particle Health, or Kno2.
- Background in value-based care, population health, or clinical data operations.
- Experience with claims-clinical data reconciliation.
- Comfort working with Python for data manipulation and automation.
Culture & Benefits
- Competitive base salary with equity opportunities and a performance-based bonus program.
- Comprehensive medical, dental, and vision coverage.
- Mental health support including No-Meeting Fridays and a generous flexible time-off policy.
- Remote-first culture with monthly cell phone and internet stipends.
- Professional development funding, mentorship, and structured performance feedback.
- Financial perks including 401k matching and an Employee Stock Purchase Plan (ESPP).
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