Remote opportunity at
Clover HealthData Analyst, Clinical Data Effectiveness
Counterpart Health, a subsidiary of Clover Health, is hiring a Data Analyst specializing in Clinical Data Effectiveness for a remote position. The organization operates an artificial…
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About This Role
Counterpart Health, a subsidiary of Clover Health, is hiring a Data Analyst specializing in Clinical Data Effectiveness for a remote position. The organization operates an artificial intelligence platform designed to assist physicians directly at the point of care by integrating with electronic health record systems to manage chronic diseases and improve health outcomes. In this role, the analyst functions as the primary subject matter expert for clinical data completeness within…
Job Description
Counterpart Health, a subsidiary of Clover Health, is hiring a Data Analyst specializing in Clinical Data Effectiveness for a remote position. The organization operates an artificial intelligence platform designed to assist physicians directly at the point of care by integrating with electronic health record systems to manage chronic diseases and improve health outcomes.
In this role, the analyst functions as the primary subject matter expert for clinical data completeness within the Data Products team. The individual oversees the entire lifecycle of clinical data, mapping information from various sources to locate gaps, guide vendor strategies, and influence technical configuration decisions. Responsibilities involve evaluating interoperability technologies, monitoring ADT coverage metrics across multiple dimensions, and collaborating with cross-functional engineering, product, and clinical groups to maintain reliable data pipelines.
The position is suited for analytical professionals who possess extensive experience managing healthcare interoperability networks, clinical data standards, and complex datasets. Candidates should enjoy investigating the underlying causes of missing data and possess strong skills in translating technical findings for diverse audiences.
Responsibilities
- Identify and track healthcare facilities that produce usable clinical documents to locate and measure data gaps
- Analyze facility information across structured claims, ADT messages, and clinical care summaries to discover systematic patterns of missingness or latency
- Report on ADT coverage across technological, geographic, and organizational dimensions
- Advise on technical configurations for current data vendors based on data flow evaluations
- Assess potential new data integration technologies through comprehensive evaluations and proof-of-concept projects
- Determine the existence and completeness of records tied to specific patient encounters
- Create a prioritization framework for targeting facilities for direct data acquisition
- Guide vendor strategy regarding national initiatives like TEFCA and QHIN adoption
- Collaborate with product, engineering, and clinical teams to define requirements, build pipelines, and validate data quality
Requirements
- At least five years of practical data analytics experience featuring direct exposure to healthcare data interoperability
- Hands-on expertise with healthcare data standards including HL7, ADT messages, and CCDA
- Strong proficiency in SQL along with comfort handling large and complex datasets such as claims and clinical logs
- Experience analyzing interoperability networks like CommonWell, Carequality, and eHealthExchange or health information exchange integrations
- Demonstrated data visualization skills capable of presenting complex findings to technical and non-technical stakeholders
- Investigative mindset focused on exploring the root causes behind missing metrics
- Ability to independently manage multiple analytical projects without constant oversight
Qualifications
- Experience utilizing TEFCA and QHIN frameworks alongside evolving national interoperability standards
- Familiarity with platform vendors such as Particle Health, Kno2, HSX, and Bamboo Health
- Background in clinical data operations, population health, or value-based care
- Experience reconciling claims and clinical data by matching explanation of benefits to clinical encounter records
- Comfort using Python or comparable tools for data automation and manipulation
Core Skills
Benefits
- Competitive base salary supported by equity opportunities
- Performance-based bonus program and regular compensation reviews
- 401k matching
- Comprehensive medical, dental, and vision health coverage
- Mental health resources, monthly company holidays, and No-Meeting Fridays
- Generous flexible time-off policy
- Learning programs, mentorship, and professional development funding
- Employee Stock Purchase Plan offering discounted equity
- Reimbursement for office setup expenses
- Monthly stipend for internet and cell phone use
- Paid parental leave for all new parents
Frequently Asked Questions
Answers are based only on the employer’s listing; where it doesn’t say, neither do we.
Is this job remote?
Yes, the posting specifies that the role is remote.
What is the employment type?
The position is full-time.
What is the salary for this position?
The salary is not stated in the job posting.
What level of experience is required?
Applicants must have five or more years of hands-on data analytics experience with direct exposure to healthcare data interoperability.
Sample Interview Questions
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