Health Data Terminologist

Summary

Join Veeva Systems, a leading life sciences industry cloud company, as a Health Data Terminologist. You will play a key role in developing, structuring, and governing healthcare vocabularies and taxonomies within the Veeva Compass product suite. This involves ensuring consistent data definition and structure across systems for accurate analytics and decision-making. The ideal candidate possesses extensive experience with drug coding systems, diagnostic classifications, and life sciences ontologies. You will design and maintain hierarchical data structures, curate controlled vocabularies, and establish mappings between data standards. Collaboration with cross-functional teams is crucial. This role offers flexibility with a Work Anywhere model.

Requirements

• 5+ years of hands-on experience working with clinical vocabularies, medical coding systems, and healthcare data standards
• Deep expertise in drug classification and coding systems, including NDC, RxNorm, and ATC
• Advanced knowledge of diagnostic and procedural code sets, such as ICD-10-CM, ICD-10-PCS, CPT, and HCPCS
• Familiarity with life sciences data standards, including LOINC and genomics or biomarker datasets
• Demonstrated ability to design and maintain complex hierarchical structures (e.g., taxonomies, ontologies, or clinical groupers)
• Strong understanding of how real-world healthcare data (e.g., claims, EHRs, prescriptions) is utilized in commercial applications, along with familiarity with common informatics workflows and data integration practices
• Excellent analytical skills and proven ability to communicate complex terminology concepts clearly acrosstechnical and non-technical teams
• Exceptional collaboration skills, with experience working cross-functionally with data scientists, engineers, and product teams
• Bachelor’s degree in Health Informatics, Biomedical Informatics, Pharmacy, Life Sciences, Public Health, or a related field

Responsibilities

• Design, develop, and maintain hierarchical structures (e.g., market baskets) linking drugs, diagnoses, procedures, and indications
• Curate and manage controlled vocabularies, ontologies, and terminologies such as NDC, ICD-10-CM, ICD-10-DM, CPT, HCPCS, LOINC, and others
• Establish mappings between different clinical and pharmaceutical data standards to support use cases in real-world evidence (RWE), market access, and analytics
• Collaborate cross-functionally with data scientists, product managers, and strategy experts to define and standardize terminology, data relationships, and hierarchies
• Identify and incorporate new clinical and claims-related reference datasets, vocabularies, and ontologies into the master data system to support evolving commercial and analytic needs
• Advise on the integration of genomics and biomarker data into existing clinical taxonomies
• Collaborate with stakeholders to align taxonomy governance with business, research, and regulatory needs

Preferred Qualifications

• Experience with terminology management tools (e.g., Apelon, SNOMED CT browsers, OHDSI/OMOP)
• Background in pharmacy, clinical informatics, or health economics
• Familiarity with data governance platforms such as Collibra or Informatica
• Understanding of FAIR data principles and semantic interoperability

Benefits

• Medical, dental, vision, and basic life insurance
• Flexible PTO and company paid holidays
• Retirement programs
• 1% charitable giving program