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.
Responsibilities
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.
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.
The above is intended to describe the general content of, and requirements for, the performance of this job. It is not to be construed as an exhaustive statement of duties, responsibilities, or requirements.
Benefits
✈️ Occasional travel expected for company-sponsored events
🩺 Medical, dental, vision, life, and disability insurance
📈 401K retirement plan; flexible spending and health savings account
🏝️ 15 days of paid time off + additional front-loaded personal days
🏖️ 14 company-recognized holidays + paid volunteer days
👶 up to 8 weeks of paid parental leave + 10 weeks of paid bonding leave
🌈 LGBTQ+ Health Services
🐶 Pet insurance
📣 Check out more of our benefits here: https://www.mcg.com/about/careers/benefits/
We embrace diversity and equal opportunity and are committed to building a team that represents a variety of backgrounds, perspectives, and skills. Only with diverse thoughts and ideas will we be able to create the change we want in healthcare. The more inclusive we are, the better our work will be for it.
All roles at MCG are expected to engage in occasional travel to participate in team or company-sponsored events for the purposes of connection and collaboration.
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
MCG is a leading healthcare organization dedicated to patient-focused care. We value our employees' unique differences and are an Equal Employment Opportunity (EEO) employer. Our diverse workforce helps us achieve our goal of providing the right care to everyone. We welcome all qualified applicants without regard to race, religion, nationality, gender, sexual orientation, gender identity, age, marital status, veteran status, disability, pregnancy, parental status, genetic information, or political affiliation. We are committed to improving equity in healthcare and believe that a diverse workplace fosters curiosity, innovation, and business success. We are happy to provide accommodations for individuals. Please let us know if you require any support.