Mosaic Health is a national care delivery platform focused on expanding access to comprehensive primary care for consumers with coverage across Commercial, Individual Exchange, Medicare, and Medicaid health plans. The Business Units which comprise Mosaic Health are multi-payer and serve nearly one million consumers across 19 states, providing them with access to high quality primary care, integrated care teams, personalized navigation, expanded digital access, and specialized services for higher-need populations. Through Mosaic Health, health plans and employers have an even stronger care provider partner that delivers affordability and superior experiences for their members and employees, including value-based primary care capacity integrated with digital patient engagement and navigation. Each of the companies within Mosaic Health provide unique offerings that together promise to improve individuals' health and wellbeing, while helping care providers deliver higher quality care. For more information, please visit www.mosaichealth.com or follow Mosaic Health on LinkedIn.

Formed in 2008 and headquartered in Fort Myers, Florida, with offices in Florida, North Carolina, and Texas, Millennium Healthcare is the largest independent physician group in the state of Florida and one of the largest in the United States. At Millennium Physician Group, our employees are the foundation of our success. Our promise is to provide you with the tools to do your job successfully, as well as providing a team atmosphere that empowers you to seek better ways to deliver care to our patients and their families. We also promise to care for you as an individual and help you grow in your role

The Healthcare Generative AI Analyst will represent the Millennium Business Unit and is responsible for assisting the Director of Emerging Technologies developing and implementing AI-driven and other solutions to improve patient outcomes, enhance operational efficiency, and support clinical decision-making. This is a unique opportunity to apply data science in a meaningful way that directly impacts public health.

Responsibilities

• Analyze complex healthcare datasets, including EHR, claims, and imaging data, to uncover insights and develop predictive models.
• Identify, research and deploy AI algorithms for use in clinical and operational settings (e.g., patient risk stratification, diagnostic support).
• Develop NLP solutions to process and extract structured data from unstructured clinical notes.
• Collaborate with clinicians, data engineers, and CIT teams to ensure seamless integration of AI tools into healthcare workflows and existing reporting structures.
• Effectively elicit, capture, and document user requirements through interviews, workshops, and observation.
• Monitor model performance, ensure interpretability, and update models as new data becomes available.
• Ensure compliance with HIPAA and other healthcare data privacy regulations.
• Communicate findings and insights to both technical and non-technical stakeholders through reports and visualizations.
• Demonstrate excellent guest service to internal team members and patients.
• Perform other related duties as assigned.
• Demonstrate excellent guest service to internal team members and patients.
• Perform other related duties as assigned.

Qualifications

• Bachelor's or Master's degree in Computer Science, Data Science, Health Informatics, or a related field.
• 2+ years of experience in data analysis or machine learning, preferably in a healthcare setting.
• Proficiency in Python, R, and SQL. Experience with R a plus.
• Experience with ML frameworks (e.g., scikit-learn, TensorFlow, PyTorch).
• Experience with modern data warehouse platforms (e.g. Snowflake, Databricks)
• Familiarity with EHR systems (e.g., Athena) and healthcare terminologies (ICD, CPT, SNOMED).
• Strong understanding of HIPAA compliance and data governance practices.
• Excellent verbal and written communication skills to effectively collaborate with diverse teams and stakeholders.
• Ability to communicate complex technical concepts in a clear and accessible manner to non-technical stakeholders.
• Strong attention to detail to ensure accuracy and quality in project deliverables.
• Preferred - Experience with cloud platforms (AWS, GCP, Azure).
• Preferred - Knowledge of clinical workflows or direct experience in a healthcare provider environment.
• Preferred - Certification in healthcare analytics or AI (e.g., CHDA, TensorFlow Developer Certificate).
• Preferred - Experience with self service reporting and Talk to your Data solutions (e.g. Databricks Genie, Snowflake Cortex Analyst)
• Ability to work independently in a fast-paced, cross-functional environment.
• A commitment to providing excellent service to internal team members and patients.
• High level of professionalism and integrity in all interactions.
• Ability to work independently in a fast-paced, cross-functional environment.

Physical Demands

• Sedentary work. Exerting up to 10 pounds of force occasionally and/or negligible amount of force frequently or constantly to lift, carry, push, pull, or otherwise move objects. Repetitive motion. Substantial movements (motions) of the wrists, hands, and/or fingers. The worker must have close visual acuity to perform an activity such as: preparing and analyzing data and figures; transcribing; viewing a computer terminal; extensive reading. Ability to lift to 15 lbs. independently not to exceed 50 lbs. without help.

Equal Employment Opportunity

• Mosaic Health is an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to age, citizenship status, color, creed, disability, ethnicity, genetic information, gender (including gender identity and gender expression), marital status, national origin, race, religion, sex, sexual orientation, veteran status or any other status or condition protected by applicable federal, state, or local laws.
• If you require an accommodation for the application or interview process, please let us know and we will work with you to meet your needs. Please contact HRbenefits@mpgus.comfor assistance.