Clinical Informaticist - Informatics, Clinical Informatics

About Mosai Mosai™ is the intelligent care coordination platform that brings together the fragmented pieces of healthcare into a clear, connected picture. Like a mosaic, our platform unites data, people, and processes so providers can make better decisions, coordinate care in real time, and deliver improved outcomes. With Mosai, home-based care organizations can thrive in value-based care while giving every patient the right care, in the right place, at the right time. Mosai is looking for a Senior Clinical Informaticist to be the clinical conscience of its AI and help drive AI-assisted health care at home. Working with data scientists and ML engineers, this person will own the clinical ground truth used to train and evaluate models, including what gets labeled, how it gets labeled, and whether outputs are safe and correct for nurses, therapists, and hospice teams to use. As the first hire in the clinical informatics function, this hands-on senior leader will create annotation guidelines, label and adjudicate data, build gold-standard datasets, and lead clinical evaluation of models and LLM-based features. The role brings knowledge of how care is delivered and documented at home into the data and logic used by Mosai's AI, while helping build the clinical informatics team. Own clinical annotation: design 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 appropriate in-house clinical resources, resolve annotator disagreements, make final clinical calls on edge cases, and build and maintain core gold-standard datasets for data science models. Work with MLOps and data science teams to report and monitor model performance and respond to drift in key accuracy metrics. Design evaluation rubrics and help define clinical criteria for release of traditional ML and LLM-based models. Translate home health and hospice workflows, including start of care, recertification, resumption of care, discharge, hospice admission, and IDG, into structured data, rules, and features. Map clinical concepts to ICD-10-CM, SNOMED CT, LOINC, RxNorm, OASIS, and hospice HOPE data elements; Define clinical data quality checks, document provenance and dataset versions, and apply HIPAA, minimum-necessary, and de-identification practices to labeling work. Support development of AI capabilities 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. 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, aligned with recognized standards such as the ANA Nursing Informatics Scope and Standards of Practice or AMIA health informatics core competencies. Core informatics competencies in clinical workflow analysis, data governance and quality, the system lifecycle (requirements, testing, validation, and go-live), and clinical decision support or quality measure logic. Working understanding of how traditional supervised and unsupervised machine learning and LLM-based models are trained and refined. 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, ideally supporting machine learning or analytics teams. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, genetic information, veteran status, or any other characteristic protected by applicable federal, state, or local law. Informatics certification, such as ANCC Informatics Nursing (NI-BC, formerly RN-BC), HIMSS CPHIMS or CAHIMS, AMIA ACHIP, or AHIMA CHDA. Master's degree in nursing informatics, health informatics, or data science. Experience evaluating LLM output, building evaluation rubrics, or conducting clinical red teaming. Familiarity with responsible AI practices in health care, including bias and fairness testing, human-in-the-loop review, and model documentation. Experience with annotation tools, such as Label Studio, Prodigy, or Labelbox, and basic SQL or Python. Experience with HomeCare HomeBase or another home health or hospice EHR. Familiarity with hospice documentation and quality reporting, including HOPE, HQRP, and CAHPS Hospice. This position uses a computer and other office equipment as needed to perform duties. The in-office noise level in the work environment is typical of that of an office. Frequent interruptions may be encountered throughout the workday. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. **Be aware of employment fraud. We will never ask you for payment or require you to purchase any equipment. If you are suspicious or unsure about the validity of a job posting, we strongly encourage you to apply directly through our website. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status, If you are unable to submit an application because of a incompatible assistive technology or disability, please contact us at View email address on click.appcast.io will make every effort to respond to your request for disability assistance as soon as possible. Mosai is an E-verify employer.