Clinical Data Architect

jobgether; New York (NY); Remote; USD 120,000 - 179,000; Full time

Benefits offered by this job

Bonus and equity opportunities

Comprehensive benefits

Job summary

Jobgether is hiring a Senior Healthcare Data Architect to architect FHIR-compliant clinical data models and lead data harmonization across sources. You will implement FHIR-to-OMOP pipelines with dbt and SQL, standardize terminologies like SNOMED CT and LOINC, and design value sets for research use.

Strong communication and independent work style are essential. Remote-friendly role within the United States, with competitive salary and equity opportunities.

Qualifications

• Bachelor's degree in Computer Science, Information Systems, or a related technical discipline.
• 5+ years of professional experience in healthcare data architecture or clinical informatics.
• Strong experience with OMOP, FHIR R4/R5, HL7 v2, CDA/CCD-A, or NCPDP.
• Advanced Python and SQL with hands-on data integration.
• Experience designing healthcare data architectures and integration solutions.

Responsibilities

• Architect FHIR-compliant clinical data models aligned with implementation guides and standards.
• Design data harmonization strategies for EHRs, HIEs, claims, and other sources.
• Develop FHIR-to-OMOP pipelines using dbt and SQL.
• Standardize healthcare data using SNOMED CT, LOINC, ICD-10, RxNorm.
• Create and manage custom value sets for clinical/research needs.
• Establish validation frameworks ensuring data quality and longitudinal integrity.

Skills

Python

SQL

FHIR

dbt

Jupyter Notebooks

Education

Bachelor's degree in Computer Science or related

Master's degree preferred

Tools

dbt

Jupyter Notebooks

Job description

Accountabilities

• Architect FHIR-compliant clinical data models that align with applicable implementation guides, profiles, and internal architectural standards.
• Design and operationalize data harmonization and enrichment strategies that unify disparate clinical data from EHRs, health information exchanges, claims, and other sources.
• Develop and maintain scalable FHIR-to-OMOP transformation pipelines using dbt and SQL.
• Standardize healthcare data using clinical terminologies and ontologies such as SNOMED CT, LOINC, ICD-10, and RxNorm.
• Design and manage custom value sets to address specialized clinical and research requirements.
• Establish validation frameworks and algorithms that ensure clinical accuracy, consistency, completeness, and longitudinal integrity across data assets.
• Translate complex data architecture and clinical informatics requirements into clear documentation for technical and non-technical stakeholders.
• Collaborate across teams to improve the usability, interoperability, and reliability of clinical data supporting research and patient-care initiatives.
• Contribute to scalable healthcare data architecture and integration practices as data needs and industry standards evolve.

Requirements

• Bachelor's degree in Computer Science, Information Systems, or a related technical discipline.
• 5+ years of professional experience in healthcare data architecture, clinical informatics, or a related field within healthcare or life sciences.
• Strong experience with healthcare data models and interoperability standards, including OMOP, FHIR R4/R5, HL7 v2, CDA/CCD-A, or NCPDP.
• Advanced proficiency in Python and SQL, with hands-on experience integrating and transforming healthcare data.
• Demonstrated understanding of clinical data structures, healthcare terminology, interoperability, and data harmonization.
• Experience designing or implementing healthcare data architecture and integration solutions.
• Hands-on experience with dbt and Jupyter Notebooks is preferred.
• A Master's degree, professional certification in Clinical Informatics, PharmD, or comparable clinical informatics experience is preferred.
• Strong analytical, organizational, and problem-solving skills, with exceptional attention to data quality and detail.
• Excellent written and verbal communication skills, with the ability to explain technical and clinical data concepts to stakeholders with varying levels of expertise.
• Ability to work independently while collaborating effectively across multidisciplinary teams.
• Qualified candidates must not require employer-sponsored work authorization now or in the future for employment in the United States.

Benefits

• Base salary range of $119,500–$179,000, depending on location, experience, skills, education, and other job-related factors.
• Additional bonus and equity opportunities.
• Comprehensive benefits designed to support whole-person health and well-being.
• Flexible working environment with a remote set-up in the United States.
• Opportunity to work at the intersection of healthcare, technology, data science, and precision health.
• Collaborative and inclusive culture that values innovation, accountability, curiosity, and respect.
• Opportunities for professional growth while contributing to meaningful healthcare technology initiatives.
• Resources and support designed to help employees maintain well-being and build sustainable careers.

How Jobgether works

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best!

Data Privacy Notice:

By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. 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.