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Data Architect-Clinical Informaticist

Rockville, MD

(ID: 2024-6797)


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).

Axle is seeking a Data Architect-Clinical Informaticist to join our vibrant team at the National Institutes of Health (NIH) supporting the National Center for Advancing Translational Sciences (NCATS) located in Rockville, MD.

 

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)

 

We are seeking a Data Architect—Clinical Informatics to support projects in the National Center for Advancing Data Science and Analytics Collaboration (NacDacC) Clinical Enclaves. This individual will work closely with data scientists, stakeholders, and clinical sites to monitor, improve, and maintain data quality and phenotypes across clinical datasets, ensuring high-quality submissions. The successful candidate will also develop and maintain pipelines for ancillary data acquisition, support new enclave requests, and create disease-specific phenotypes for various NIH enclaves. 

Key Responsibilities:  

  • Manage and optimize data ingestion and ETL pipelines to support the integration of diverse healthcare datasets, including clinical, claims, and ancillary data from multiple sources, such as electronic medical records (EMRs) and disease registries. 

  • Design and develop advanced healthcare data solutions aligned with industry standards to support organizational objectives. 

  • Contribute to the modeling, normalization, and transformation of healthcare data. 

  • Collaborate with cross-functional teams to build robust data pipelines and solutions leveraging the Observational Medical Outcomes Partnership (OMOP) Common Data Model and other healthcare data standards. 

  • Ensure compliance with data standards and interoperability protocols (e.g., HL7 FHIR, HL7v2, and OMOP) to harmonize and link disparate data sources. 

  • Develop and maintain data quality scorecards and pipelines for clinical and ancillary datasets. 

  • Provide subject matter expertise in healthcare standards (e.g., SNOMED, LOINC, RxNorm) and interoperability frameworks to advance data acquisition and linkage strategies. 

  • Collaborate with internal teams to iterate on data quality improvements and implement scorecards to monitor ongoing performance.  

Qualifications: 

  • Master’s degree in Clinical Informatics, Health Informatics, Data Science, or a related field or equivalent experience. 

  • Proven experience in data quality management, clinical data pipelines, and phenotype development. 

  • Strong skills related to SQL, Python, R, and Jupyter Notebook; experience with cloud computing platforms and using version control systems (e.g., Git) and collaborative development tools. 

  • Demonstrated expertise in healthcare knowledge standards, controlled terminologies (e.g. SNOMED, LOINC, RxNorm, etc),standard data models (e.g. OMOP, HL7 FHIR, STDM, etc.) and healthcare interoperability standards; HL7 FHIR, HL7v2, X12, NCPDP, CCD-A, CCD, etc. 

  • Strong problem-solving skills and attention to detail. 

  • Ability to work collaboratively with multidisciplinary teams and stakeholders across various NIH Institutes. 

Nice to Have: 

  • Experience with patient registry (cancer, renal, etc…) data. 

  • Familiarity with NIH data and processes 

  • Knowledge of clinical practice and research. An understanding of operating procedures and workflows within a hospital or ambulatory setting. 

  • General knowledge of Artificial Intelligence (AI) components and techniques.

 

Disclaimer: The above description is meant to illustrate the general nature of work and level of effort being performed by individuals assigned to this position or job description. This is not restricted as a complete list of all skills, responsibilities, duties, and/or assignments required. Individuals may be required to perform duties outside of their position, job description or responsibilities as needed.

The diversity of Axle’s employees is a tremendous asset. We are firmly committed to providing equal opportunity in all aspects of employment and will not tolerate any illegal discrimination or harassment based on age, race, gender, religion, national origin, disability, marital status, covered veteran status, sexual orientation, status with respect to public assistance, and other characteristics protected under state, federal, or local law and to deter those who aid, abet, or induce discrimination or coerce others to discriminate.

Accessibility: If you need an accommodation as part of the employment process please contact: careers@axleinfo.com

This role has a market-competitive salary with an anticipated base compensation range listed below. Actual salaries will vary depending on a candidate’s experience, qualifications, skills, and location.

Salary Range

$90,000 - $120,000 USD

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