Health Data Terminologist - Compass

Veeva Systems is a mission-driven organization and pioneer in industry cloud, helping life sciences companies bring therapies to patients faster. As one of the fastest-growing SaaS companies in history, we surpassed $2B in revenue in our last fiscal year with extensive growth potential ahead.

At the heart of Veeva are our values: Do the Right Thing, Customer Success, Employee Success, and Speed. We're not just any public company – we made history in 2021 by becoming a public benefit corporation (PBC), legally bound to balancing the interests of customers, employees, society, and investors.

As a Work Anywhere company, we support your flexibility to work from home or in the office, so you can thrive in your ideal environment.

Join us in transforming the life sciences industry, committed to making a positive impact on its customers, employees, and communities.

The Role

As the Health Data Terminologist on the Veeva Compass Product Team, you will play a pivotal role in the development, structuring, and governance of healthcare vocabularies, taxonomies, and hierarchies that enable meaningful insights across the Compass suite of data products. Your work will be essential in ensuring that clinical and commercial data are consistently defined, structured, and understood across systems—so teams can trust and use the data accurately for analytics, decision-making, and product development.

The ideal candidate brings hands-on experience with drug coding systems (e.g., NDC), diagnosis and procedure classifications (e.g., ICD-10-CM, CPT, HCPCS) and life sciences ontologies such as LOINC and genomics data. This role is well-suited for a highly skilled, detail-oriented expert in healthcare data standards and clinical terminology who is passionate about building scalable and accurate data foundations.

What You’ll Do

• 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

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 across technical 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

Nice to Have

• 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

Perks & Benefits

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

Compensation

• Base pay: $80,000 - $115,000
• The salary range listed here has been provided to comply with local regulations and represents a potential base salary range for this role. Please note that actual salaries may vary within the range above or below, depending on experience and location. We look at compensation for each individual and base our offer on your unique qualifications, experience, and expected contributions. This position may also be eligible for other types of compensation in addition to base salary, such as variable bonus and/or stock bonus.