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22 часа назад

Data Analyst, Clinical Data Effectiveness (Healthcare)

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 (Healthcare) (Clinical Data Interoperability): Analyzing clinical data completeness, reliability, and effectiveness across EHR, claims, CCDA, ADT, HIE, and vendor integration sources with an accent on identifying data gaps and measuring facility and vendor performance. Focus on reconciling claims with clinical encounters, evaluating interoperability technologies, prioritizing direct data acquisition, and guiding scalable clinical data pipelines.

Location: Remote - USA

Salary: $77,000–$100,000 USD annually

Company

hirify.global is an AI-powered physician enablement platform that integrates clinical insights into clinician workflows and connects with EHR systems to support value-based care and chronic disease management.

What you will do

  • Own the end-to-end analysis of clinical data completeness, reliability, latency, and effectiveness across facilities, markets, vendors, and integration pathways.
  • Identify facilities producing high-quality clinical documents and quantify gaps across EHRs, discharge summaries, procedure notes, claims, CCDAs, and ADT messages.
  • Maintain reporting on ADT coverage by county, facility, organization, and underlying EMR system.
  • Evaluate vendor configurations and conduct proof-of-concepts for data exchange technologies such as Kno2, Particle Health, Bamboo Health, PCC, Experian, and HSX.
  • Develop a framework for prioritizing direct facility data acquisition based on impact, cost-effectiveness, and technical feasibility.
  • Partner with Product Managers, Engineers, and Clinical teams to define requirements, implement reliable pipelines, validate data quality, and remove operational bottlenecks.

Requirements

  • 2+ years of hands-on data analytics experience with direct exposure to healthcare data interoperability.
  • Strong experience with HL7, CCDA, and ADT healthcare data standards.
  • Proficiency in SQL and experience working with large, complex claims, clinical, and interoperability 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.
  • Strong investigative, self-directed, and project-management skills for analyzing missing data, diverging metrics, vendor comparisons, and visit-level reconciliation.

Nice to have

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

Culture & Benefits

  • Remote-first work environment with collaboration across global teams.
  • Medical, dental, and vision coverage, plus mental health resources.
  • 401(k) matching, equity opportunities, performance-based bonuses, ESPP, and regular compensation reviews.
  • No-Meeting Fridays, monthly company holidays, flexible time off, and paid parental leave.
  • Professional development programs, mentorship, funding, and performance feedback.
  • Office setup reimbursement and monthly cell phone and internet stipends.

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