Pay: $80,000–115,000/year · BaseAnnual period assumed · Location-specific pay — pay source
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.
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Work setup: Unconfirmed
Employment: Full-time — employment source
Employment type Full-Time
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What you’ll work on

You will collaborate closely with data engineering, analytics, and product teams to deliver scalable, interoperable, and trusted healthcare data solutions.
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

From the employer’s posting

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

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

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

What you’ll bring

All qualifications

Core experience

Bachelor’s degree in Health Informatics, Biomedical Informatics, Pharmacy, Life Sciences, Public Health, or related field
Experience with terminology or ontology management tools (e.g., Apelon, SNOMED CT browsers, OHDSI/OMOP)
1% charitable giving program
5+ years of hands-on experience with healthcare data systems, clinical vocabularies, coding systems, and payer data
Familiarity with data governance platforms (e.g., Collibra, Informatica) and FAIR data principles
Deep expertise in drug classification and coding systems (NDC, RxNorm, ATC)

Qualification wording

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

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

1% charitable giving program

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

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

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

Tools in this posting

Python
R
SAS
SQL

Source

- 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

- 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)

Job description

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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 $3B 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
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.

#LI-Remote

Veeva’s headquarters is located in the San Francisco Bay Area with offices in more than 15 countries around the world.

Veeva is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity or expression, religion, national origin or ancestry, age, disability, marital status, pregnancy, protected veteran status, protected genetic information, political affiliation, or any other characteristics protected by local laws, regulations, or ordinances. If you need assistance or accommodation due to a disability or special need when applying for a role or in our recruitment process, please contact us at talent_accommodations@veeva.com.

Employment type

Full-Time

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Source & posting history

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Source excerpts

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Pay: 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.
Location & working pattern: Massachusetts - Boston
- 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. #LI-Remote Veeva’s headquarters is located in the San Francisco Bay Area with offices in more than 15 countries around the world.
Work authorization: No clear work-authorization passage found. Eligibility is unconfirmed.

Open source at jobs.lever.co ↗Read the full description ↓

Status in our records: Active
First seen by us: Apr 15, 2026
Recorded sightings: 236
Last seen by us: Oct 10, 2026
Employer says posted: Jun 4, 2025

These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.

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Senior Health Data Informaticist - Compass