Senior Health Data Informaticist - Compass Massachusetts - Boston Product Management & Alliances – Product Management & Alliances - NA / Full-Time / Remote 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.

Health Data Terminologist Location: New York City, NY, United States Full-time Remote Job Description: 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. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

• Design, write, and maintain robust, high-performance software to deploy AI/ML models that analyze network traffic for anomalous or malicious behaviors. • Design and develop autonomous AI agent architectures and multi-agent workflows. • Collaborate with data scientists, threat researchers, and cloud teams to build high-performance services, pipelines, and tooling that accelerate ML experimentation and production workflows. • Drive engineering excellence across teams through code reviews, design reviews, and the establishment of standards, patterns, and best practices. • Lead cross-functional technical initiatives and represent engineering in conversations with senior leadership and external stakeholders. • Contribute to product strategy by bringing deep technical insight to roadmap discussions, build-vs-buy decisions, and competitive differentiation. • Lead by example. Provide technical mentorship to software engineers on the team, fostering a culture of continuous learning, optimization, and rigorous engineering discipline.

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