Senior Clinical Informaticist

Mosai

. 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 .

Posted 10/9/2026full-timeRemote • United StatesSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in clinical annotation, data quality, and informatics, with a strong focus on home health and hospice workflows. Proficient in evaluating model performance and ensuring clinical safety through rigorous data governance and quality checks.

Highest-signal resume keywords

Active Clinical License (RN, PT, OT, SLP)Clinical Informatics ExperienceOASIS ExpertiseICD-10-CM Coding KnowledgeExperience with Clinical Data Labeling

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Clinical Workflow AnalysisData GovernanceMachine Learning UnderstandingAnnotation and Chart AbstractionClinical Decision Support

Soft Skills

Judgment and Clinical ReasoningMentoring and Training

Tools & Technologies

Label StudioProdigyLabelboxHomeCare HomeBaseSQLPython

Certifications & Qualifications

Informatics Certification (ANCC, HIMSS, AMIA, AHIMA)Home Health Certification (COS-C, HCS-D, HCS-O)

Industry Keywords

Home HealthHospiceHIPAA CompliancePHI De-identificationOASIS-ESNOMED CTLOINCRxNormPDGMHHVBP

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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