Senior Health Informatics Standards and Interoperability Consultant

About This Opportunity

We are representing a federal healthcare consulting organization in their search for a Senior Health Informatics Standards and Interoperability Consultant to support a large-scale Veterans Health Administration program. This is a remote position based in the United States.

Our client operates across 170+ medical centers, advancing enterprise clinical data standards through semantic infrastructure, healthcare integration standards, and interoperability frameworks. You will span both the meaning of clinical data and the movement of it—developing metadata, ontology standards, and terminology tooling while providing expert oversight across HL7, FHIR, SNOMED CT, LOINC, and data integration architectures.

Work is organized under the Scaled Agile Framework (SAFe), with features delivered in quarterly Planning Intervals, demonstrated biweekly, and tracked in Jira and Jira Align. The ideal candidate brings a decade of health sciences experience, deep ontology and interoperability expertise, and the judgment to set technical direction that engineering and analysis teams will build against.

Responsibilities

• Develop and maintain semantic infrastructure including metadata, ontology standards, information models, reference data, and value sets for clinical and medical data classification and standardization
• Design, extend, and govern ontologies and controlled vocabularies; establish modeling conventions, hierarchies, and post-coordination rules; evaluate ontology quality and fitness for use
• Apply semantic interoperability concepts so clinical data can be exchanged and reused across systems without loss of meaning; develop and validate mappings and crosswalks between local, national, and international code systems
• Build and maintain knowledge management resources including wikis, knowledge bases, data dictionaries, modeling guides, and decision repositories
• Provide expert oversight of healthcare integration standards across the program; establish which standards apply to which exchange scenarios and set technical direction for engineering teams
• Guide implementation of HL7 v2, C-CDA, FHIR, SNOMED CT, LOINC, RxNorm, and CDISC; review interface specifications, conformance profiles, and implementation guides
• Direct data integration design across clinical, administrative, and ancillary source systems; define transformation, reconciliation, and error-handling approaches
• Oversee integration between enterprise health systems and downstream consumers; evaluate interface engines, messaging patterns, and API strategies
• Lead logical and physical data modeling for health information assets; govern model conventions, keys, and lineage
• Provide oversight of health data warehouse design including source-to-target mapping, dimensional and normalized modeling, historization, and data quality controls
• Perform high-level analysis on complex informatics, integration, and information management problems; produce defensible recommendations for government decision-makers
• Serve as liaison and advisor between architecture teams and standards bodies such as HL7, SNOMED International, and CDISC; track ballots, releases, and emerging specifications
• Provide expert guidance on scientific and medical informatics domains to clinical subject matter experts, engineers, data architects, and governance bodies
• Provide leadership and training in health standards to architects, analysts, engineers, and clinical stakeholders
• Translate government-provided problem statements into epics, features, user stories, and acceptance criteria for agile delivery
• Participate in daily stand-ups, iteration planning, PI planning, retrospectives, and biweekly demonstration ceremonies
• Produce information models, architecture depictions, interface specifications, mapping documents, data dictionaries, and technical documentation
• Identify, document, and track risks related to data standards, terminology currency, integration, and semantic integrity; engage stakeholders to support change management

What We're Looking For

Required:

• Master's degree in health or biomedical informatics, information or computer science, library and information science, a clinical discipline, or related field
• 10 years of analysis and/or management experience in health sciences disciplines
• Within that experience, minimum 5 years in ontology and semantic interoperability concepts related to clinical or medical data classification and standardization
• Demonstrated experience working with standards bodies or standards such as SNOMED, CDISC, HL7, and ASCO
• Demonstrated experience developing semantic infrastructure, including metadata, ontology standards, terminology tooling, and knowledge management resources
• Expert-level command of healthcare integration standards and standards implementation, including HL7 v2, C-CDA, and FHIR
• Demonstrated depth across data integration, systems integration, data modeling, and data warehousing sufficient to provide oversight
• Experience performing high-level analytical duties on complex health information problems
• Experience serving as liaison or advisor between technical teams and health standards bodies such as HL7
• Demonstrated ability to provide leadership and training in health standards to technical and non-technical audiences
• Experience working in Agile or Scaled Agile Framework (SAFe) environment, including backlog management and delivery tracking in Jira and/or Jira Align
• Proficiency with Microsoft Office 365, including advanced Excel; familiarity with Power BI and the Power Platform
• Strong written and verbal communication skills, with ability to brief technical, clinical, and executive stakeholders and produce decision-quality documentation
• Ability to work independently, manage multiple concurrent priorities, and deliver on fixed iteration and Planning Interval cadence
• Ability to obtain and maintain a public trust clearance
• Legal authorization to work in the United States

Preferred:

• Doctoral-level degree (PhD, MD, DO, PharmD) in health science or informatics discipline
• Clinical background such as physician, nurse, pharmacist, or allied health professional
• HL7 certification (v2.x Control Specialist, CDA Specialist, or FHIR Proficiency) or SNOMED CT certification
• Active participation in HL7, SNOMED International, LOINC, or CDISC work groups, ballot cycles, or connectathons
• Hands-on experience with terminology and ontology tooling such as Apelon DTS, Protégé, Snowstorm, Ontoserver, or TermSpace
• Hands-on experience with interface engines and integration platforms such as Mirth Connect, Rhapsody, or InterSystems
• Experience with FHIR profiling and US Core, FHIR terminology service operations, and value set authoring or publication in VSAC
• Experience with IHE profiles, national interoperability frameworks such as TEFCA, or health information exchange operations at scale
• Experience with common data models or research data standards such as OMOP, i2b2, or CDISC SDTM and CDASH
• Direct VA or VHA experience, including work with federal health informatics or clinical data programs
• Hands-on experience with major EHR reference data, code sets, or interface configuration
• Experience with knowledge representation technologies such as RDF, OWL, and SPARQL
• Experience supporting data governance, master data management, or patient identity and record matching in large health systems
• Experience mentoring or providing technical direction to informaticists, architects, and integration engineers

How We Work with You

Candidates apply directly through Get A Job.ai. Our talent team will review your background and conduct an initial screening to understand your experience with health informatics standards, semantic interoperability, and federal healthcare programs. Qualified candidates are then submitted to our client for consideration. Please do not contact the client directly—all communication and coordination will be managed through Get A Job.ai to ensure a professional and streamlined process.

Pay

Pay details will be discussed during the screening process based on your experience and qualifications.

Equal Employment Opportunity: Get A Job.ai is committed to providing equal employment opportunities to all applicants and employees regardless of race, color, religion, sex, national origin, age, disability, or any other protected characteristic. We value diversity and encourage all qualified individuals to apply.