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Open nowPosted 21 days ago

Director, Commercial Data, Advanced Analytics & Forecasting

REGENXBIO11 open roles

Where
Remote
Work mode
Remote
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Your applicationOpen nowDirector, Commercial Data, Advanced Analytics & ForecastingREGENXBIO · Remote

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  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on REGENXBIO's own form.

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Share of postings closed within
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  2. 3.4%3 days
  3. 7.8%7 days
  4. 14.3%14 days
  5. 33.7%30 days
This job: posted 21 days ago

The posting

Since our founding in 2009, REGENXBIO has pioneered what’s possible in gene therapy. Today, we are advancing a pipeline of gene therapies designed to improve the lives of patients facing serious rare and retinal diseases and preparing to bring innovative new medicines to patients.

Our work is fueled by purpose and urgency because every day matters to patients and their families. At REGENXBIO, you’ll find meaningful opportunities to grow, collaborate, and contribute to the advancement of potentially transformative gene therapies. Together, our talented team is working to make a meaningful difference for patients and their families.

What we do matters.

The opportunity

As the Director, Commercial Data, Advanced Analytics & Forecasting, you will build and lead the data, advanced analytics, and forecasting capabilities needed to ensure launch readiness and guide commercial decision-making. This individual will play a critical role in translating brand strategy into decision and analytics framework, develop advanced analyses and patient-based forecasts, and turn complex data into decision-ready insights and KPIs.

How you’ll contribute

  • 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

What you'll bring

  • 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 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.
  • Willingness and ability to travel up to 25%.

What you can expect

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What happens when you press

One press. We do the rest.

  1. A CV for this posting

    Written against REGENXBIO's own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.

  3. We apply on REGENXBIO's form

    Our application engine gets through the hardest forms there are. Where a question needs you, AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

    An application in CV Rocket: every answer filled in on the employer's form.

  4. Every reply, sorted

    REGENXBIO's answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.

  5. Reply with AI

    AI helps you write the email, checks it and sends it. We show you whether the recruiter read it.

  6. The interview in your calendar

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    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
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