Job Description

Job Description
- Accountable for clinical data review and analysis for complex, global projects collated from various data sources formatted in various industry standards (HL7, FHIR, C-CDA, JSON etc.)
- Understand healthcare data, including clinical data in both proprietary and industry standard formats (FHIR, C-CDA etc.) and develop mappings and transformation solution between various formats.
- Apply proven clinical data experience to be able to profile and answer questions about the quality of clinical data, investigate outliers and trends in the data.
- Apply Knowledge of state and federal guidelines on privacy, HIPAA, transactions and security to Clinical data framework
- Support data standards such as (SNOMED CT, RXNorm, LOINC, UCUM, ICD, CPT, CVX etc), including HL7 and Fast Healthcare Interoperability Resources (FHIR) efforts for a rapidly growing segment of federal health business in clinical data.
- Support business and data engineering in creating a comprehensive clinical reference data library, keeping it up-to-date and maintaining
- Be accountable for scaling up our clinical data capabilities as we scale our initiatives.
- Understand diverse clinical data sources, identify data quality issues and identify/define business rules to standardize and conform them.
- Solicit, clarify business level requirements, analyze data requirements and break them down into detailed user stories that can be consumed by scrum teams
- Able to communicate accurate and timely project status, issues, risks and scope changes

Required Qualifications
- 5+ years of experience in the clinical field, preferably as an RN or in a Physicians office working with clinical data and EMRs/EHRs
- 3+ years experience working with clinical data code sets and/or standards like HL7, CCDAs or FHIR
- 3+ years experience with data profiling and mapping tools working in a healthcare data management system environment

Preferred Qualifications
- Preferred experience designing and developing physician reports or dashboards using clinical data
- Preferred experience working on data engineering team
- Preferred understanding and/or experience working in an Agile/Scrum environment
- Preferred experience with data validation and data acceptance testing
- 3+ years experience working with clinical data and understanding of analytics and how it is leveraged within the healthcare industry
- 3+ years experience working in cross functional initiatives communicating effectively and confidently with business partners, project team members and senior management

Education
Required: Bachelor's or equivalent degree in clinical or medical sciences or nursing

Business Overview
At CVS Health, we are joined in a common purpose: helping people on their path to better health. We are working to transform health care through innovations that make quality care more accessible, easier to use, less expensive and patient-focused. Working together and organizing around the individual, we are pioneering a new approach to total health that puts people at the heart.

We strive to promote and sustain a culture of diversity, inclusion and belonging every day. CVS Health is an equal opportunity and affirmative action employer. We do not discriminate in recruiting, hiring or promotion based on race, ethnicity, sex/gender, sexual orientation, gender identity or expression, age, disability or protected veteran status or on any other basis or characteristic prohibited by applicable federal, state, or local law. We proudly support and encourage people with military experience (active, veterans, reservists and National Guard) as well as military spouses to apply for CVS Health job opportunities.