Director, Commercial Data – Advanced Analytics & Forecasting

🕒 Outubro 29

🇺🇸 Estados Unidos – Remoto (EUA)

💵 $196.000 - $265.000 / ano

⏰ Tempo Integral

🔴 Especialista

👔 Diretor

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REGENXBIO

SiteLinkedInTodas as Vagas

201 - 500 funcionários

Fundada em 2008

🧬 Biotecnologia

🏥 Saúde

🔥 Investimento no último ano

💰 $100.000.000 Post-IPO Equity em 2026-07

Biotechnology • Healthcare

A REGENXBIO é uma empresa líder de biotecnologia em estágio clínico, focada no desenvolvimento e na comercialização de terapias gênicas que utilizam sua plataforma proprietária de tecnologia NAV® baseada em vírus adeno-associado (AAV). A empresa está avançando diversos programas clínicos em estágio avançado e candidatos voltados ao tratamento de doenças da retina e doenças raras (entre os exemplos de seu pipeline estão o ABBV‑RGX‑314 para doenças da retina, o RGX‑202 para distrofia muscular de Duchenne e o RGX‑121 para MPS II/síndrome de Hunter). A REGENXBIO prioriza tratamentos curativos de dose única, capacidade interna de fabricação pronta para a comercialização e colaborações com parceiros e licenciados para ampliar sua biblioteca de vetores AAV e seu alcance terapêutico.

Descrição

• Build and lead data, advanced analytics, and forecasting capabilities for launch readiness and commercial decision-making • Design measurement frameworks connecting market development, customer engagement, field execution, account readiness, patient progression, access, treatment, and business outcomes • Build advanced analyses and decision-support models identifying leading indicators and early-warning signals • Lead analytics across market sizing, patient identification, customer segmentation and targeting, referral networks, payer access, field-force optimization, territory potential, and launch performance • Translate analytical findings into recommendations, implications, risks, and actions for senior executives and operating teams • Own patient-based, demand, launch, and long-range commercial forecasting • Build base, upside/downside, label, and access scenarios • Monitor actual performance versus assumptions • Identify, evaluate, and manage relevant commercial data sources • Oversee data ingestion, integration, customer and account master data, and aggregation processes • Develop and maintain dashboards, reports, scorecards, and KPI-tracking tools using Power BI, Tableau, Excel, and other business intelligence platforms • Develop and maintain a governed roadmap for commercial AI, machine learning, generative AI, and analytical automation

🎯 Requisitos

• Bachelor’s degree in statistics, mathematics, computer science, or a related quantitative discipline; relevant advanced degree strongly preferred • 10+ years of progressive experience in commercial analytics, data science, forecasting, business intelligence, commercial operations, or a related function within pharmaceuticals, biotechnology, or healthcare • Direct experience supporting at least one U.S. product launch from pre-launch planning through launch or early commercialization • Advanced, hands-on SQL proficiency, including independently extracting, joining, transforming, validating, and analyzing complex datasets • Strong hands-on capability in at least one of Python, R, SAS, Alteryx, or a comparable analytical platform • Strong proficiency with Excel and business-intelligence or visualization tools such as Power BI or Tableau • Experience building advanced analytical models, customer or account segmentations, targeting analyses, field-effectiveness analyses, and decision-support tools • Experience developing and maintaining patient-based, demand, launch, or long-range forecasts • Experience working with healthcare-provider, payer, claims, CRM, patient-services, specialty-pharmacy, specialty-distributor, shipment, financial, market-research, or other complex commercial datasets • Experience defining requirements for data acquisition, data integration, data warehouses or lakehouses, data aggregation, analytics-ready datasets, data quality, metadata, lineage, and governance • Working knowledge of statistical modeling, predictive analytics, machine learning, AI, and analytical automation • Ability to translate brand strategy into analytical questions, data requirements, models, KPIs, insights, and commercial actions • Willingness and ability to travel up to 25%

🏖️ Benefícios

• Annual bonus program • Education assistance • Paid caregiver leave • Retirement plan with employer match • Stock options at all levels • Summer hours • Comprehensive and competitive benefit & compensation package

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