Note: The job is a remote job and is open to candidates in USA. R1 RCM is the leading provider of technology-driven solutions that transform the patient experience and financial performance of healthcare organizations. The Clinical Data Operations Analyst III will validate and troubleshoot clinical data, ensuring its accuracy and readiness for implementation in the PhareOS platform, while collaborating with various teams to resolve data quality issues.
Responsibilities
- Serve as a front-line data detective for PhareOS: execute SQL-based validation of HL7, FHIR, and batch healthcare data across every layer of the pipeline, from raw source through standardized tables
- Hunt down and resolve data quality issues — missing records, null propagation, duplicate records, incorrect mappings, and inconsistent relationships — before they ever reach a client or a downstream product
- Trace the full journey of clinical data: review raw source messages, HL7-to-FHIR Bundle transformations, and standardized tables to pinpoint source availability gaps and transformation accuracy issues
- Partner directly with engineering to support and refine dbt models and mapping logic that power PhareOS’s clinical data layer
- Validate HL7 and FHIR message processing across critical clinical fields — event codes, patient class, discharge disposition, payer, diagnosis, procedure, and DRG — ensuring the data driving PhareOS is clinically sound
- Build Databricks SQL queries and notebooks to power validation, field-level research, production triage, and go-live readiness for new and existing clients
- Document validation results, mapping assumptions, known limitations, and recommended remediation paths that both technical and non-technical stakeholders can act on
- Be the connective tissue between engineering, product, clinical, and vendor teams — showing up with clear data evidence and reproducible examples instead of vague symptoms
- Monitor and investigate client-specific data discrepancies in production, and validate fixes to confirm the issue is truly resolved
- Support successful client clinical data implementations from data acquisition through go-live, with particular focus on strategic and/or complex clients and tight timelines
- Communicate technical and healthcare revenue cycle concepts clearly across audiences — from engineers and clinicians to client IT/data contacts — adapting the message without losing the substance
Skills
- Strong SQL skills required — comfortable writing complex validation queries across large, multi-layered healthcare datasets
- Hands-on experience with Databricks SQL and notebooks is essential
- Experience with healthcare clinical and revenue cycle data, including HL7 v2/v3 messaging and FHIR resources/Bundles
- 10+ years of experience querying, validating, and analyzing data in SQL, with comfort writing complex, multi-table validation queries
- 10+ years of experience working on data pipeline, integration, or implementation projects; healthcare data experience a strong plus
- Experience collaborating cross-functionally with engineering, product, clinical, and/or vendor teams, translating technical findings into clear, actionable evidence
- 3+ years of hands-on experience with healthcare clinical data formats and standards, including HL7 v2/v3 messaging, FHIR resources/Bundles, and the transformation logic that connects them
- Strong problem-solving and analytical skills — the instinct to keep digging until you find the actual root cause, not just the symptom
- Experience with dbt, Spark SQL, Python, Git, and modern data lake/warehouse platforms (Databricks, Snowflake, or similar)
Benefits
- This job is eligible to participate in our annual bonus plan at a target of 10.00%
- Competitive benefits package.
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