Staff Clinical Informatics Data Architect
- Role
- Data Engineering
- Experience
- Staff
- Employment
- Full-time
Open to US only. Set where you work from to check your eligibility.
No BS summary
Staff-level clinical informatics data architect; requires a Master's in Clinical Informatics and minimum 8 years' experience, applicants must be located in the United States. Needs expertise mapping and normalizing clinical data to FHIR, OMOP and STDM and standardizing terminologies (SNOMED, LOINC, RxNorm). Hands-on with SQL, Python, R, dbt, Jupyter Notebook, cloud platforms and Git.
Core skills
Required skills
Who We Are Verily Health is a data platform and technology company purpose-built to power AI-enabled precision health solutions that accelerate research and improve care for individuals and communities. Uniquely positioned at the intersection of technology, data science, and healthcare, Verily transforms multimodal health data into insights, models, and actions that make healthcare more personalized, predictive, and precise. Responsibilities As a technical leader, oversee the plan, design, and execution of data modeling, normalization, and transformation activities. These efforts will support the development of an advanced healthcare data architecture that aligns with organizational goals and adheres to informatics standards. Lead the design of healthcare data modeling and mapping of source data to FHIR, OMOP and STDM. This will involve data normalization, enrichment, and deduplication to enhance data quality and completeness. To ensure accurate representation of clinical concepts, source data will need to be standardized to terminologies and ontologies like SNOMED, LOINC, RxNorm, and others. Oversee the integration strategy for ingestion of multi-sourced healthcare data focused on ingesting multi-sourced healthcare data received through standard interoperability exchange protocols, such as FHIR, HL7, and X12 ED. Architect and oversee the design of robust data pipelines that can handle large volumes of data efficiently and reliably, enabling timely analysis and intervention in time-sensitive situations. Champion data quality initiatives, establishing rigorous standards and processes to ensure the reliability and accuracy of data. Foster collaboration between technical and non-technical teams, translating complex technical concepts into actionable insight. Drive the exploration and adoption of emerging technologies and methodologies, such as machine learning or artificial intelligence. Design documents that effectively communicate data architecture, normalization principles, and harmonization techniques to technical and non-technical stakeholders across the organization. Apply expertise to solve complex, high-impact data-related issues, ensuring timely resolution and minimizing disruptions to critical operations. Leverage deep technical knowledge of SQL, Python, R, dbt, and Jupyter Notebook; cloud computing platforms and version control systems (e.g., Git), along with other higher-level and domain-specific programming languages to lead data design and model development efforts aimed at solving impactful problems. Minimum Qualifications Bachelor's degree in Computer Science, Mathematics or medical related field and Master's degree in Clinical Informatics Minimum of 8 years experience working as a clinical informaticist, data architect or data integration engineer in Healthcare or Life Sciences industries Demonstrated proficiency in established healthcare standards, controlled terminologies (including SNOMED, LOINC, and RxNorm), standard data models (such as FHIR, OMOP, etc), and healthcare interoperability standards and frameworks like HL7, NCPDP, and CCD-A. Strong skills related to SQL, Python, R, dbt, ETL tooling and Jupyter Notebook. In addition experience with cloud computing platforms and using version control systems (e.g., Git) and collaborative development tools. Preferred Qualifications PhD in Clinical Informatics, MD or PharmD Previous experience developing informatics solutions to support patient care or clinical research. Knowledge of clinical practice and research. An understanding of operating procedures and workflows within a hospital or ambulatory setting. Demonstrated expertise in standard healthcare models, such as OMOP and HL7 FHIR R4/R5, as well as healthcare interoperability frameworks and standards including HL7 FHIR, HL7 v2, CDA/CCD-A, and NCPDP. Build What’s Vital. At Verily, you are a part of something bigger. We are a diverse team of builders innovating at the intersection of health and technology—united by a shared spirit of curiosity, resilience and determination to make better health possible for all. This builder mindset means your fingerprints will be on the work that shapes the future of health. Fulfilling our precision health purpose starts with the health of our Veeps, which is why we offer flexibility, resources, and competitive benefits to support you in your whole-person well being. Our culture reflects the behaviors that stem from living our values every day in how we Innovate Healthcare and Technology, Gain Velocity as One Verily, and Respect Individuals. As One Verily, we uphold our collective accountability to sustain this culture and to create an environment where all Veeps feel included, feel a sense of belonging, and have opportunities to grow. If this sounds exciting to you, we would love to hear from you. You can find out more about our company culture on our LinkedIn Company Page.
What you'll do
- Oversee the plan, design, and execution of data modeling, normalization, and transformation activities to build an advanced healthcare data architecture.
- Lead design and mapping of source data to FHIR, OMOP and STDM, including normalization, enrichment, deduplication and standardization to terminologies like SNOMED, LOINC and RxNorm.
- Oversee integration and ingestion strategies for multi-sourced healthcare data via interoperability protocols such as FHIR, HL7 and X12 ED and architect robust data pipelines for large-volume data.
- Champion data quality initiatives, establish standards/processes, and apply expertise to solve complex, high-impact data issues.
- Communicate data architecture and harmonization techniques to technical and non-technical stakeholders and drive exploration/adoption of ML/AI and emerging methodologies.
What they require
- Bachelor's degree in Computer Science, Mathematics or medical related field and Master's degree in Clinical Informatics.
- Minimum of 8 years experience working as a clinical informaticist, data architect or data integration engineer in Healthcare or Life Sciences industries.
- Demonstrated proficiency in healthcare standards and controlled terminologies (SNOMED, LOINC, RxNorm) and standard data models and interoperability standards (FHIR, OMOP, HL7, NCPDP, CCD-A).
- Strong skills with SQL, Python, R, dbt, ETL tooling and Jupyter Notebook; experience with cloud computing platforms and version control systems (e.g., Git).
- Preferred: PhD in Clinical Informatics, MD or PharmD; previous experience developing informatics solutions to support patient care or clinical research; knowledge of clinical practice and workflows.
Verily Health is a data platform and technology company purpose-built to power AI-enabled precision health solutions that accelerate research and improve care for individuals and communities.