Senior Health Data Informaticist - 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 a Senior Healthcare Data Informaticist, you will design, manage, and maintain all reference data assets in the Terminology Reference Library (TRL), including clinical, and claims-related coding standards. In this senior role, you will ensure high-quality, standardized, and actionable data to support therapeutic area frameworks and a comprehensive, reference data library. You will collaborate closely with data engineering, analytics, and product teams to deliver scalable, interoperable, and trusted healthcare data solutions.

What You'll Do

* Curate, standardize, and validate medical and pharmacy claims data to ensure accuracy and usability across Compass products

* Map drugs to indications and therapeutic areas using coding standards such as ICD-10, CPT/HCPCS, NDC, RxNorm, and ATC

* Design, maintain, and document hierarchical structures, taxonomies, and vocabularies, including therapeutic area frameworks, diagnosis/procedure groupings

* Develop business rules, validation routines, and clinical logic to support reliable analytics and product use

* Lead data integration and modeling efforts, applying healthcare data standards for consistent, interoperable data assets

* Troubleshoot complex data issues, ensuring data integrity, system reliability, and adherence to regulatory requirements (HIPAA)

* Produce clear documentation (ERDs, flowcharts, sequence diagrams) to communicate processes and data solutions effectively

* Translate complex clinical and payer data concepts into actionable insights for cross-functional teams and leadership

* Mentor and guide junior team members to strengthen overall team capabilities.

Requirements

* Bachelor's degree in Health Informatics, Biomedical Informatics, Pharmacy, Life Sciences, Public Health, or related field

* 5+ years of hands-on experience with healthcare data systems, clinical vocabularies, coding systems, and payer data

* Deep expertise in drug classification and coding systems (NDC, RxNorm, ATC)

* Advanced knowledge of diagnostic and procedural code sets (ICD-10-CM, ICD-10-PCS, CPT, HCPCS)

* Experience with payer data, including commercial and government payers, and a history of acting as a subject matter expert

* Strong SQL skills and experience with data modeling, transformation, and aggregation on large healthcare datasets

* Proven ability to design, maintain, and govern complex hierarchical structures (taxonomies, ontologies, clinical groupers)

* Strong analytical and problem-solving skills, with the ability to resolve technical challenges in healthcare data systems

* Excellent collaboration and communication skills, able to translate complex data concepts for technical and non-technical audiences

* Familiarity with U.S. healthcare system structures, data standards, and payer mix concepts

Nice to Have

* Experience with terminology or ontology management tools (e.g., Apelon, SNOMED CT browsers, OHDSI/OMOP)

* Familiarity with data governance platforms (e.g., Collibra, Informatica) and FAIR data principles

* Background in pharmacy, clinical informatics, or health economics/market access analytics

* Proficiency in scripting languages (Python, R, SAS) or other ETL/data manipulation tools

Perks & Benefits

* Medical, dental, vision, and basic life insurance

* Flexible PTO and company paid holidays

* Retirement programs

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