Payer Analyst
Our team is looking for a hands-on clinical data expert who likes to be in the trenches analyzing data. The ideal candidate is excited about harmonizing clinical data through healthcare IT standardization and is passionate about how data interoperability is transforming patient care.
This job requires a sharp analytical mind, a love of clinical and billing data, and a passion for tackling one of the most complex medical and technological challenges of our time.
Innovation and independence are key on this team. You will be developing creative ways to explore, organize, and leverage the clinical and billing data in our systems. Every day will provide something new and challenging in curating and managing content for large data sets and ensuring data quality.
Responsibilities:
- Curate, analyze, manage, and harmonize clinical and payer-related data from multiple applications.
- Standardize clinical and billing data to clinical and payer-related controlled vocabularies and classifications.
- Expand and adapt ontologies when existing standards fall short.
- Work with a team of product managers, software engineers, and clinicians to identify, design, and implement clinical and payer-related data and terminology across Flatiron products.
- Be a billing data standards and coding best practices expert on our team.
- Work hands-on with data while learning new software technologies and tools that help us better analyze, manage, and organize standardized content.
- Collaborate with technical and clinical cross-functional product teams.
Requirements:
- 2-5 years of hands-on experience curating and extracting data from databases, analyzing clinical data, and/or integrating clinical and terminologies in a healthcare IT environment
- Bachelor’s or graduate degree in a math,science, or technical degree; alternatively a non-technical subject with substantial technical and subject matter experience
- In-depth knowledge of standard classifications and codesets used in medical coding and billing schemes, such as ICD-10, CPT, HCPCS, and NDC
- In-depth knowledge of medical and pharmacy claims billing formats (HCFA 1500, UB-92), and EDI transaction sets (X12 EDI 835, 837)
- Strong organizational and communication skills
- Experience in data analysis of at least one Electronic Health Record (EHR) system (e.g.: Epic, MOSAIQ, Varian, Cerner)
- Some proficiency in SQL
Bonus points:
- Knowledge of standard controlled vocabularies like LOINC, RxNorm, SNOMED-CT, and NCI Thesaurus
- Clinical provider experience (e.g.: RN, Lab specialist, MD)
- Experience working with drug database integrations (e.g.: First Databank, Medispan, Multum)
- Knowledge of clinical oncology and oncology data
- Knowledge of healthcare IT data standards like HL7v2.x and HL7 FHIR