AI/ML Solutions Analyst

Essential Duties and Responsibilities:

• Data Preparation & Exploration
• • Collect, clean, and preprocess patient, claims, billing, and operational data from healthcare systems (EHRs, billing platforms, CRM, etc.).
  • Conduct exploratory data analysis (EDA) on datasets related to ventilator compliance, hospital readmissions, referral patterns, and payer trends.
• Modeling & Analysis
• • Assist in building predictive and machine learning models (e.g., patient risk stratification, adherence prediction, referral conversion).
  • Perform statistical and trend analysis to identify cost-saving opportunities and clinical/operational efficiencies.
• AI & Automation Development
• • Support the design and prototyping of AI agents for tasks such as real-time eligibility checks, referral triage, and payer communication.
  • Help build automated workflows and data pipelines that reduce manual processes (e.g., invoice/PO/receiving 3-way match, claims variance detection).
  • Contribute to the development of chatbots and copilots that assist employees with data lookups, reporting, or documentation.
  • Experiment with workflow automation tools and APIs to connect platforms such as Bonafide, Brightree, Acumatica, Salesforce, and Power Apps.
• Visualization & Communication
• • Create dashboards and reports (Tableau/Power BI) that monitor patient outcomes, operational KPIs, and AI automation performance.
  • Communicate results in clear, actionable terms for clinicians, operations staff, and executives.
• Collaboration & Support
• • Work with data engineers to optimize data pipelines supporting AI/ML and automation initiatives.

Minimum Qualifications:

• Bachelor’s degree in Data Science, Computer Science, Healthcare Informatics, or related field (Master’s a plus), or equivalent experience
• Proficiency in Python (Pandas, NumPy, scikit-learn, LangChain, or similar frameworks for AI/agents).
• Strong SQL skills for working with healthcare and operational data.
• Familiarity with AI concepts such as LLMs, prompt engineering, and workflow orchestration.
• Understanding of healthcare data (claims, EHR, payer data) and compliance standards (HIPAA).
• Experience with data visualization tools (Tableau, Power BI, matplotlib, seaborn).
• Strong problem-solving and communication skills.

Preferred Knowledge, Skills and Abilities:

• Exposure to DME workflows (referrals, authorizations, billing, compliance).
• Experience building AI-driven tools or copilots in Microsoft Copilot, ChatGPT Enterprise, or similar platforms.
• Familiarity with workflow automation tools (Power Automate, Zapier, UiPath, etc.).
• Cloud platform experience (AWS, Azure, or GCP).
• Git/version control and collaborative development experience.

You will be expected to work during normal business hours, which are Monday through Friday, 8:00 a.m. – 5:00 p.m. Please note this job description is not designed to cover and/or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties and responsibilities may change at any time with or without notice.