Clinical AI Informaticist
Core
Physician-scientist building clinical AI models, evaluation frameworks, and safety guardrails to reduce clinician burnout and improve documentation accuracy.
Role type
Senior IC clinical AI informaticist (physician-scientist)
Builds
Clinical AI agents, evaluation benchmarks, safety guardrails, and interoperability mappings for ambient clinical intelligence
Domain
Healthcare + Clinical AI / NLP
Deliverable
production ML models
Required skills
Clinical medicine (MD/DO), Python, SQL, R, Jupyter notebooks, Large Language Models, Prompt Engineering, Clinical NLP, EHR systems (Epic/Cerner/MEDITECH/athenahealth), Clinical standards (HL7 FHIR, SNOMED-CT, ICD-10, LOINC), Statistical analysis, Study design
Preferred skills
Clinical Informatics fellowship, Ambient clinical documentation experience, ML frameworks (PyTorch, HuggingFace, LangChain), Cloud ML platforms, Clinical decision support design, Product management in health tech
Technologies
Python, SQL, R, Jupyter, PyTorch, HuggingFace, LangChain, Epic, Oracle Health/Cerner, MEDITECH, athenahealth, HL7 FHIR, SNOMED-CT, ICD-10, LOINC
Responsibilities
Execute clinical evaluation studies and define ground truth; Curate and structure clinical datasets for model training; Develop and iterate on prompt architectures for clinical AI agents; Analyze model failure modes and design safety mitigations; Prototype new clinical AI capabilities; Build evaluation pipelines and quality dashboards; Conduct statistical analysis on clinical outcomes; Design clinical validation studies with physicians; Collaborate with ML/NLP engineers on model architecture decisions
Seniority
Senior, hands-on IC