Senior Clinical Informaticist

Job Description:

• Own clinical annotation by designing labeling schemas and versioned guidelines for clinical notes, OASIS items, diagnoses, medications, wounds, functional status, and other home health and hospice concepts
• Label and adjudicate data directly, engage in-house clinical resources, resolve annotator disagreements, make final clinical calls on edge cases, and build and maintain gold-standard datasets
• Work with MLOps and data science teams to report and monitor model performance and respond to drift in key accuracy metrics
• Measure inter-annotator agreement using metrics such as Cohen's or Fleiss' kappa; run calibration sessions, audit samples, and improve annotation guidelines and workflows
• Evaluate model predictions and LLM-generated text for accuracy, completeness, hallucination, bias, and clinical safety
• Design evaluation rubrics and help define clinical criteria for release of traditional ML and LLM-based models
• Translate home health and hospice workflows into structured data, rules, and features
• Map clinical concepts to ICD-10-CM, SNOMED CT, LOINC, RxNorm, OASIS, and hospice HOPE data elements; support EHR integration using HL7 and FHIR
• Define clinical data quality checks, document provenance and dataset versions, and apply HIPAA, minimum-necessary, and de-identification practices
• Support AI capability development by demonstrating how skilled clinicians perform the same tasks
• Partner with product and engineering on clinical requirements, pre-release validation, post-release model monitoring, and clinician feedback loops
• Recruit, train, and mentor clinical annotators and junior informaticists as the program grows

Requirements:

• Active, unrestricted clinical license as an RN (BSN or equivalent), Physical Therapist, Occupational Therapist, or Speech-Language Pathologist
• At least five years of clinical experience, including meaningful time in home health and/or hospice
• At least four years in clinical informatics, such as informatics nursing, clinical analysis, clinical data abstraction, or quality
• Core informatics competencies in clinical workflow analysis, data governance and quality, system lifecycle, and clinical decision support or quality measure logic
• Working understanding of traditional supervised and unsupervised machine learning and LLM-based models
• Hands-on OASIS expertise, including the current OASIS-E data set and guidance manual
• Working knowledge of ICD-10-CM coding and home health payment and quality programs, including PDGM, HHVBP, and Home Health Quality Reporting
• Experience with clinical data labeling, annotation, or chart abstraction
• Familiarity with SNOMED CT, LOINC, and RxNorm
• Working knowledge of HIPAA and PHI de-identification methods, including Safe Harbor and Expert Determination
• Precise, consistent judgment and ability to explain clinical reasoning clearly to non-clinicians
• Preferred: Informatics certification, such as ANCC Informatics Nursing, HIMSS CPHIMS or CAHIMS, AMIA ACHIP, or AHIMA CHDA
• Preferred: Master's degree in nursing informatics, health informatics, or data science
• Preferred: Home health certification, such as COS-C, HCS-D, or HCS-O
• Preferred: Experience evaluating LLM output, building evaluation rubrics, or conducting clinical red teaming
• Preferred: Familiarity with responsible AI practices in health care
• Preferred: Experience with annotation tools such as Label Studio, Prodigy, or Labelbox, and basic SQL or Python
• Preferred: Experience with HomeCare HomeBase or another home health or hospice EHR
• Preferred: Familiarity with hospice documentation and quality reporting, including HOPE, HQRP, and CAHPS Hospice
• Eligibility to work in the United States is verified through E-Verify if selected

Benefits:

• Remote or hybrid work options (Jacksonville/Nashville)
• Reasonable accommodations for individuals with disabilities
• Equal opportunity employment