Senior Clinical Informaticist

Job not on LinkedIn

🔥 13 hours ago

🇺🇸 United States – Remote

⏰ Full Time

🟠 Senior

👻 Ghost score 12%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Mosai

WebsiteLinkedInAll Job Openings

1 - 10 employees

Founded 2021

Mosai is a company; no company text was provided for analysis. Please provide the company description or additional details so I can generate an accurate summary and select relevant industries.

📋 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