Note: The job is a remote job and is open to candidates in USA. REGENXBIO is a gene therapy company advancing treatments for serious rare and retinal diseases. The Director, Commercial Data, Advanced Analytics & Forecasting will build and lead commercial data, analytics, and forecasting capabilities to support launch readiness and decision-making. The role will develop measurement frameworks, advanced analyses, patient-based forecasts, dashboards, and decision-ready insights for senior executives and operating teams.
Responsibilities
- Design measurement frameworks that connect market development, customer engagement, field execution, account readiness, patient progression, access, treatment, and business outcomes
- Build advanced analyses and decision-support models to identify leading indicators and early-warning signals that enable action before risks or opportunities are evident in lagging performance measures
- Lead analytics across market sizing, patient identification, customer segmentation and targeting, referral networks, payer access, field-force optimization, territory potential, and launch performance
- Translate complex analytical findings into clear recommendations, implications, risks, and actions for senior executives and operating teams
- Own patient-based, demand, launch, and long-range commercial forecasting, incorporating drivers such as epidemiology, diagnosis, patient identification and eligibility, referral, treatment-center capacity, access, time to treatment, uptake, competitive dynamics, and supply considerations
- Build key scenarios, including base, upside/downside, label, and access scenarios
- Monitor actual performance versus assumptions
- Identify, evaluate, and manage relevant data sources, including HCP, payer, claims, prescription, account, CRM, patient services, hub, specialty pharmacy, specialty distributor, shipment, digital, financial, epidemiology, market research, and competitive intelligence data
- Oversee data ingestion, integration, customer and account master data, and aggregation processes to deliver accurate, high-quality, analytics-ready datasets
- Develop and maintain dashboards, reports, scorecards, and KPI-tracking tools, and support recurring business reviews using Power BI, Tableau, Excel, and other business intelligence platforms
- Develop a practical, governed roadmap for commercial AI, machine learning, generative AI, and analytical automatio
Skills
- Bachelor's degree in statistics, mathematics, computer science, or a related quantitative discipline
- 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 required, including the ability to independently extract, join, transform, validate, and analyze 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
- Demonstrated experience building advanced analytical models, customer or account segmentations, targeting analyses, field-effectiveness analyses, and decision-support tools
- Demonstrated 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
- Relevant advanced degree strongly preferred
Benefits
- An annual bonus program
- Education assistance
- Paid caregiver leave
- Retirement plan with employer match
- Stock options at all levels
- Summer hours
Company Overview
Company H1B Sponsorship