Role Focus
We are seeking a data and analytics professional with strong experience in patient and commercial analytics within the pharmaceutical industry, with CAR-T cell therapy analytics experience. The role will support end‑to‑end analytics delivery across oncology and other key therapeutic areas, generating insights that drive brand strategy, field effectiveness, and commercial performance.
Key Responsibilities

• Lead end‑to‑end commercial analytics engagements, delivering patient, prescriber, and market insights for top pharma brands.
• Conduct patient journey, adherence, persistence, and line‑of‑therapy analyses using claims and EHR data.
• Build automated dashboards and statistical models to support commercial decision‑making and brand strategy.
• Support targeting and segmentation frameworks to optimize field deployment and enhance HCP engagement.
• Track brand performance, launch readiness, KPIs, competitor activity, and promotional effectiveness.
• Integrate external datasets (IQVIA, Komodo, Symphony) with internal CRM and marketing data to deliver cross‑channel insights.

• Claims and EHR data analytics (EHR exposure; no direct EMR experience).
• Patient journey, adherence, persistence, and initiation barrier analytics.
• Commercial analytics including prescriber insights, market trends, and brand performance tracking.
• Statistical modeling and dashboard development to support commercial strategy

• Partner with marketing, sales, medical, and market access teams to translate analytics into actionable business recommendations.
• Collaborate with commercial leadership to support campaign optimization and resource allocation.
• Work cross‑functionally to design targeting, segmentation, and field deployment strategies.
• Engage with internal analytics teams and external partners to ensure alignment and quality of deliverables.

• Approximately 4 years of experience in pharmaceutical analytics.
• Experience supporting CAR‑T cell therapy analytics and oncology workflows
• Strong technical proficiency in SQL and Python.
• Hands‑on experience with IQVIA, Komodo, and Symphony Health datasets.
• Experience developing dashboards and statistical models (Tableau/Power BI implied).
• Strong communication skills with the ability to simplify complex data for business audiences.