Senior Health Data Informaticist - Compass
Massachusetts - Boston
- 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.
Read the full posting- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type Full-Time
Employment type in the employer’s listing: Full-Time
From the employer’s posting
What you’ll work on
Full postingCurate, standardize and validate medical and pharmacy claims data
Map drugs to indications and therapeutic areas using standard coding systems
Design, maintain and document taxonomies, vocabularies and hierarchies
Develop business rules, validation routines and clinical logic
Lead data integration and modeling efforts and mentor junior team members
From the employer’s posting
Curate, standardize, and validate medical and pharmacy claims data
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
Develop business rules, validation routines, and clinical logic
Lead data integration and modeling efforts
What you’ll bring
All qualificationsCore 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)
Education & alternatives
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
Tools in this posting
- Python
- R
- SAS
- SQL
Source — Tool mentions in context
- 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)
Posting record
Report an errorOpen 6 monthsWe first saw this listing 193 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
- Status in our records
- Live
- First seen by us
- Apr 15, 2026 · 193 days ago
- Recorded sightings
- 288
- Last seen by us
- Oct 25, 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.
Your next step
- Have your resume and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
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Job description
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.
Employment type
Full-Time
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- 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.
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