Lead Clinical Data Analyst
Vero
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Job Description
We’re partnered with a fast-scaling healthcare technology company building modern infrastructure that improves healthcare delivery and patient outcomes at scale.
They’re now looking for a Senior Healthcare Data Analyst to help customers unlock the full value of healthcare data while shaping how trusted, high-quality data products are delivered across the platform.
This role sits at the intersection of healthcare analytics, data quality, customer partnership, and modern AI-enabled operations, helping customers understand, trust, and operationalize complex clinical and claims data at scale.
What's on offer
- Total cash comp up to $185k
- Remote-first environment with strong flexibility
- Opportunity to influence how healthcare data is interpreted and trusted at scale
- High-impact role within a mission-driven healthcare technology business
- Collaborative culture investing in AI adoption and modern ways of working
- Exposure to senior leadership and strategic customer initiatives
The Mandate
- Partner directly with customers to solve complex healthcare data and platform challenges
- Build trust in the platform by explaining data transformations, logic, and quality outcomes
- Collaborate with technical stakeholders to develop advanced customisations and solutions
- Contribute to the evolution of a best-in-class validation framework across healthcare datasets
- Act as an internal subject matter expert across claims, clinical, and operational healthcare data flows
- Drive improvements in data reliability, quality, and customer confidence
- Apply AI tooling to improve efficiency, organization, and delivery across multiple initiatives
- Translate technical complexity into clear business and operational outcomes
What We’re Looking For
- 5+ years of experience working with healthcare data environments
- Strong knowledge of clinical data models and overall healthcare data ecosystems
- Deep understanding of healthcare data standards and feeds including FHIR, HL7, CCD, and full extracts
- Familiarity with healthcare terminology including ICD, SNOMED, LOINC, RxNorm, and related frameworks
- Experience working with value-based care models and healthcare performance measurement
- Strong analytical thinking and structured problem-solving ability
- Excellent communication skills with the ability to explain technical concepts clearly to varied audiences
- Experience managing multiple priorities while leveraging AI tools to improve productivity and execution
- Genuine interest in adopting AI-enabled workflows and operational practices
Bonus
- Advanced SQL capability with experience working across complex datasets and environments
- Experience working within health systems, ACOs, CINs, payer organizations, or insurers
- Experience working within healthcare technology vendors
- Exposure to healthcare data validation, governance, or platform operations environments
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