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Data Analyst, Clinical Data Effectiveness (AI)

77 000 - 100 000$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
junior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Data Analyst, Clinical Data Effectiveness (AI): Analyzing clinical data completeness and effectiveness across EHRs, claims, CCDAs, ADT messages, and interoperability networks with an accent on data quality, facility coverage, and vendor performance. Focus on reconciling clinical and claims records, evaluating integration technologies, prioritizing direct data acquisition, and guiding reliable clinical data pipelines.

Location: Remote - USA

Salary: $77,000–$100,000 USD per year

Company

Counterpart Health is an AI-powered physician enablement platform and a subsidiary of hirify.global, providing clinical insights through workflows integrated with EHR systems.

What you will do

  • Analyze clinical data completeness, usability, latency, and consistency across facilities, vendors, customer markets, and integration pathways.
  • Monitor the quality of clinical documents, including EHR records, discharge summaries, procedure notes, CCDAs, claims, and ADT messages.
  • Build transparent reporting on ADT coverage across counties, facilities, organizations, and EMR systems.
  • Evaluate vendor configurations and conduct proof-of-concepts for data integration technologies such as Kno2 and Particle Health.
  • Develop frameworks for prioritizing direct facility data acquisition based on impact, cost-effectiveness, and technical feasibility.
  • Collaborate with Product Managers, Engineers, and Clinical teams to define requirements, implement reliable pipelines, and validate clinical data utility.

Requirements

  • 2+ years of hands-on data analytics experience with direct exposure to healthcare data interoperability.
  • Strong experience with HL7, CCDA, and ADT messages.
  • Proficiency in SQL and experience working with large, complex healthcare datasets.
  • Experience analyzing interoperability networks such as Carequality, CommonWell, or eHealthExchange, or working with HIE integrations.
  • Ability to visualize data and present complex findings to technical and non-technical stakeholders.
  • Self-directed investigative approach with the ability to manage multiple analytical projects.

Nice to have

  • Experience with TEFCA/QHIN frameworks and national interoperability standards.
  • Familiarity with Bamboo Health, HSX, Particle Health, Kno2, PCC, or Experian data exchange platforms.
  • Background in value-based care, population health, or clinical data operations.
  • Experience reconciling claims and clinical data, such as matching EOBs to clinical encounter records.
  • Comfort using Python or similar tools for data manipulation and automation.

Culture & Benefits

  • Remote-first work environment supporting collaboration and flexibility.
  • Competitive base salary, equity opportunities, performance-based bonus, and 401(k) matching.
  • Medical, dental, and vision coverage, mental health resources, flexible time off, and monthly company holidays.
  • No-Meeting Fridays, professional development funding, learning programs, mentorship, and regular performance feedback.
  • ESPP, office setup reimbursement, monthly cell phone and internet stipend, and paid parental leave.

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