Lead Informaticist, Medicaid Pharmacy Forecasting

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CenterWell Senior Primary Care

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

⚕️ Healthcare Insurance

Healthcare Insurance

CenterWell Senior Primary Care is a healthcare provider focused on delivering personalized primary care to senior citizens. The company emphasizes a comprehensive and holistic approach to healthcare, addressing the physical, social, and emotional needs of older adults. As part of its service offerings, CenterWell includes home health services and pharmacy support to complement its senior primary care. The organization is committed to offering stability, inclusive benefits, and career growth opportunities for its employees while maintaining a culture of mutual respect and mindfulness. CenterWell is a brand under the larger healthcare entity, Humana.

📋 Description

• Own Medicaid Drug- and Market-Level Forecasting End-to-End • Design, build, and maintain forecasts for drug-level utilization (script counts, days supply, cost, mix) and market-level utilization for each Medicaid state Humana supports • Produce forecasts at the cadence required by the business (e.g., monthly refresh, ad-hoc scenarios, launch projections, annual planning) • Maintain a forecasting framework that is transparent, reproducible, and version-controlled • Explicitly handle state-by-state differences in Data availability, member cohort composition, benefit design, and other factors • Select and apply the right method for the problem, including classical time series and machine learning models • Quantify and communicate uncertainty rather than presenting point estimates alone • Diagnose and clearly explain the drivers of variance to executive stakeholders • Partner with various stakeholders to ensure forecasts reflect the best available business intelligence and operational reality • Leverage AI agents and modern coding tools to accelerate model development in Databricks using Python, PySpark, and/or SQL

🎯 Requirements

• Bachelor's degree (or equivalent experience) in a quantitative discipline (Statistics, Economics, Data Science, Operations Research, Mathematics, Actuarial Science, Health Services Research, or related); advanced degree preferred • 5+ years of progressive quantitative analytics experience, with 3+ years specifically in forecasting (utilization, demand, financial, or comparable) • Demonstrated experience producing drug-, product-, or market-level forecasts in a healthcare, pharmacy, payer, PBM, or comparable setting • Strong hands-on proficiency in Python, PySpark, and/or SQL, with the ability to build and maintain reproducible forecasting pipelines • Working knowledge of forecasting methods across classical time series, regression-based, and machine learning approaches; ability to choose and defend the right method for the problem • Demonstrated experience explaining forecast variance to non-technical executives in clear, decomposable terms • Comfort with leveraging AI agents and coding tools to accelerate analysis and iteration • Strong written and verbal communication skills, with a track record of translating quantitative work into executive-ready narratives.

🏖️ Benefits

• Medical, dental and vision benefits • 401(k) retirement savings plan • Paid time off, including paid time off, company and personal holidays, paid parental and caregiver leave • Short-term and long-term disability • Life insurance • Many other opportunities