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Mid-level role in metro with niche life-sciences specialization, moderate applicant density.
Strong life-sciences and claims specialization limits cross-industry transferability.
Explicit 6+ years, domain expertise, and mandatory SQL/Python/Tableau tighten screening.
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Design and execute advanced analytics solutions using machine learning, NLP, and neural networks to generate actionable insights for patient support programs.
Manage analytics and reporting for patient support programs including hub services, prior authorizations, appeals, and copay assistance; partner with vendors and pharmacies to monitor and improve patient access.
Develop dashboards and KPI reports for commercial and market access leadership; translate complex data into clear business insights and recommendations to influence go-to-market strategies.
Minimum 6+ years experience in life sciences management consulting with claims data analytics and data science expertise.
Bachelor's degree required; advanced degree (MBA, MPH, MS) is a plus.
Proficiency in SQL, Excel, Tableau, Power BI, and advanced data science skills including Python.
Experience with pharma/biotech commercial functions and detailed knowledge of hub operations, specialty pharmacy, copay programs, and payer access dynamics.
Experienced in managing patient-level claims, hub, and specialty pharmacy data to identify trends and improve patient access outcomes.
Comfortable collaborating with multiple cross-functional teams and presenting to senior stakeholders, demonstrating strong strategic thinking and data storytelling.
Familiarity with specialty therapeutics, oncology, rare diseases, and patient services platforms (e.g., Salesforce, AssistRx) is a strong advantage.