Clinical Data Architect

<h3>Accountabilities</h3><li>Architect FHIR-compliant clinical data models that align with applicable implementation guides, profiles, and internal architectural standards.</li><li>Design and operationalize data harmonization and enrichment strategies that unify disparate clinical data from EHRs, health information exchanges, claims, and other sources.</li><li>Develop and maintain scalable FHIR-to-OMOP transformation pipelines using dbt and SQL.</li><li>Standardize healthcare data using clinical terminologies and ontologies such as SNOMED CT, LOINC, ICD-10, and RxNorm.</li><li>Design and manage custom value sets to address specialized clinical and research requirements.</li><li>Establish validation frameworks and algorithms that ensure clinical accuracy, consistency, completeness, and longitudinal integrity across data assets.</li><li>Translate complex data architecture and clinical informatics requirements into clear documentation for technical and non-technical stakeholders.</li><li>Collaborate across teams to improve the usability, interoperability, and reliability of clinical data supporting research and patient-care initiatives.</li><li>Contribute to scalable healthcare data architecture and integration practices as data needs and industry standards evolve.</li><h2>Requirements</h2><li>Bachelor’s degree in Computer Science, Information Systems, or a related technical discipline.</li><li>5+ years of professional experience in healthcare data architecture, clinical informatics, or a related field within healthcare or life sciences.</li><li>Strong experience with healthcare data models and interoperability standards, including OMOP, FHIR R4/R5, HL7 v2, CDA/CCD-A, or NCPDP.</li><li>Advanced proficiency in Python and SQL, with hands-on experience integrating and transforming healthcare data.</li><li>Demonstrated understanding of clinical data structures, healthcare terminology, interoperability, and data harmonization.</li><li>Experience designing or implementing healthcare data architecture and integration solutions.</li><li>Hands-on experience with dbt and Jupyter Notebooks is preferred.</li><li>A Master’s degree, professional certification in Clinical Informatics, PharmD, or comparable clinical informatics experience is preferred.</li><li>Strong analytical, organizational, and problem-solving skills, with exceptional attention to data quality and detail.</li><li>Excellent written and verbal communication skills, with the ability to explain technical and clinical data concepts to stakeholders with varying levels of expertise.</li><li>Ability to work independently while collaborating effectively across multidisciplinary teams.</li><li>Qualified candidates must not require employer-sponsored work authorization now or in the future for employment in the United States.</li><h2>Benefits</h2><li>Base salary range of<strong>$119,500–$179,000</strong>, depending on location, experience, skills, education, and other job-related factors.</li><li>Additional<strong>bonus and equity</strong>opportunities.</li><li>Comprehensive benefits designed to support whole-person health and well-being.</li><li>Flexible working environment with a remote setup in the United States.</li><li>Opportunity to work at the intersection of healthcare, technology, data science, and precision health.</li><li>Collaborative and inclusive culture that values innovation, accountability, curiosity, and respect.</li><li>Opportunities for professional growth while contributing to meaningful healthcare technology initiatives.</li><li>Resources and support designed to help employees maintain well-being and build sustainable careers.</li>