Senior Data Architect

(ID: 2025-1007)

Axle is a bioscience and information technology company that offers advancements in translational research, biomedical informatics, and data science applications to research centers and healthcare organizations nationally and abroad. With experts in biomedical science, software engineering, and program management, we focus on developing and applying research tools and techniques to empower decision-making and accelerate research discoveries. We work with some of the top research organizations and facilities in the country including multiple institutes at the National Institutes of Health (NIH).

 

Benefits We Offer:

• 100% Medical, Dental & Vision Coverage for Employees
• Paid Time Off and Paid Holidays
• 401K match up to 5%
• Educational Benefits for Career Growth
• Employee Referral Bonus
• Flexible Spending Accounts:
  • Healthcare (FSA)
  • Parking Reimbursement Account (PRK)
  • Dependent Care Assistant Program (DCAP)
  • Transportation Reimbursement Account (TRN)

 

Axle is seeking a Senior Data Architect to join our team supporting the National Center for Advancing Translational Sciences (NCATS), located in Rockville, MD.

 

About the Mission

Join the team powering the National COVID Cohort Collaborative (N3C) — now expanding into the National Clinical Cohort Collaborative, the largest harmonized clinical data resource in the United States. N3C integrates diverse, de-identified EHR, claims, registry, and public health data to accelerate discovery and translational research across diseases.

This is not a traditional engineering role. It’s a chance to define how clinical data is represented, harmonized, and made research-ready for thousands of investigators. As a senior architect and informatics leader, you will shape national data standards, ensure semantic interoperability, and help guide the future of data-driven biomedical research.

 

The Opportunity: Your Impact

As a Senior Data Architect, you will lead the design and governance of the data architecture that underpins one of the most ambitious biomedical data resources in existence. You’ll ensure that diverse clinical, administrative, and external datasets are accurately modeled, semantically consistent, and analytically usable across multiple domains.

You will collaborate closely with informaticians, data scientists, and data engineers to ensure data are FAIR (Findable, Accessible, Interoperable, and Reusable) and aligned with national data model initiatives.

 

What You’ll Do

Architect and Evolve the National Clinical Data Model

• Lead the design and optimization of scalable data models across diverse healthcare domains.
• Extend and refine OMOP and FHIR vocabularies for evolving data types including genomics, imaging, and environmental data.
• Define canonical representations of key concepts (diagnoses, labs, medications, encounters, outcomes) to ensure semantic integrity across sources.
  
   

Advance Data Interoperability and Harmonization

• Oversee cross-model translation between OMOP, PCORNet, TriNetX, ACT, and FHIR.
• Govern terminological consistency using SNOMED CT, LOINC, ICD, RxNorm, CPT, and NDC vocabularies.
• Implement curation pipelines that align heterogeneous data into harmonized, analysis-ready structures.
  
   

Enable Federated and Privacy-Preserving Research

• Support linkage of de-identified records across clinical systems, registries, and claims datasets.
• Guide the implementation of privacy-preserving record linkage (PPRL) and federated learning