Clinical Informaticist

As a Clinical Informaticist you will be responsible for the research, analysis, codification, remediation, and quality assurance of new and existing technical informatics solutions that leverage MCG’s clinical content, healthcare information, artifacts, and value sets. You will ensure that clinical intent, indications, and evidence-based guidance are accurately translated into computable logic for use in digital health and informatics solutions. 

 

You Will: 

• Design, build, and maintain clinical reasoning logic, including rules, prompts, and supporting metadata, to evaluate patient clinical information in alignment with evidence-based guidelines. 

• Interpret clinical guidelines and translate them into operational logic, collaborating closely with clinical and content experts to ensure accurate reflection of clinical intent. 

• Curate, map, and maintain clinical value sets and related artifacts to support consistent, accurate clinical reasoning and decision support. 

• Participate in the review, development, and refinement of clinical criteria and indications in partnership with informatics and content authoring teams. 

• Analyze both narrative clinical documentation and structured clinical data (e.g., vital signs, laboratory results, medications) to identify clinically meaningful signals and ensure appropriate interpretation within decision logic. 

• Perform unit testing, validation, and impact analysis of clinical logic to ensure accuracy, consistency, and alignment with intended clinical use. 

• Develop and maintain clear documentation of logic design, assumptions, limitations, testing approaches, and decision rationale for informatics solutions. 

• Conduct data modeling and analysis across diverse healthcare data sources (e.g., electronic medical records, laboratory systems, imaging, medications) to understand relationships and support effective integration for clinical reasoning. 

• Propose, prototype, and iteratively refine algorithms and informatics solutions in support of clinical decision support and analytics initiatives. 

• Apply modern analytic tools and methods to support clinical decision support, data analysis, and documentation-related use cases. 

• Provide informatics and technical consultation to identify opportunities to improve the use of clinical data and information technologies in clinical decision-making. 

• Collaborate with cross-functional partners to identify and mitigate risks related to data quality, interpretation limitations, automation behavior, and downstream clinical or operational impacts. 

• Evaluate the appropriateness, limitations, and risks of large language models (LLMs) and other automated reasoning approaches for interpreting clinical content and guidelines, with a focus on preserving clinical intent and minimizing unintended outcomes. 
• Work closely with clinical, product, data, and leadership teams to ensure clinical logic, safety requirements, and escalation standards are accurately and consistently implemented within analytic and AI-enabled solutions. 

What We’re Looking For: 

• MD or DO with an active, current, and unrestricted medical license in a state or territory of the United States. 

• Completion of an ACGME-accredited Clinical Informatics Fellowship or equivalent formal clinical informatics training. 

• Foundational hands-on experience gained through fellowship training, prior roles, or combined experience in clinical data modeling, clinical decision support logic or rules authoring, clinical indications and guideline interpretation, value set mapping, and medical terminology. 

• Working knowledge of healthcare data standards and interoperability frameworks, including FHIR, HL7, and C-CDA. 

• Working knowledge of clinical terminologies and coding systems, including SNOMED CT, LOINC, RxNorm, ICD-10-CM, ICD-10-PCS, CPT, and HCPCS. 

• Experience authoring or reviewing rules, logic, queries, or data representations using languages or formats such as XML, JSON, SQL, Python, or similar, gained through fellowship projects or prior experience. 

• Exposure to large language models (LLMs), natural language processing, or advanced analytics for clinical or technical applications, with an understanding of their limitations in clinical contexts. 

• Demonstrated understanding of relational databases and structured clinical data. 

• Strong foundation in biological and medical concepts and clinical workflows. 

• Experience working with electronic medical records or other clinical data sources in a clinical, operational, or informatics context. 

• Excellent written and verbal communication skills, with the ability to translate complex clinical and technical concepts for diverse audiences 

• Strong attention to detail and comfort working in highly precise, technically rigorous environments 

• Demonstrated ability to organize, prioritize, and manage multiple competing priorities in a fast-paced setting 

• Collaborative, team-oriented mindset with the ability to work effectively across clinical, technical, and business stakeholders 

  Licensure/Certifications/Registrations/Permits: 

• MD or DO with an active, current, and unrestricted medical license in a state or territory of the United States required.   

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