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Product Data Scientist

Wilmington, DE · On-site

$85 - $100/hr

Bachelor's degree in Statistics, Mathematics, Operational Research, Computer Science/Engineering, Data Science or other quantitative major. Masters or PhD is preferred * 3+ years' experience ...

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What is the difference between Phd In Statistics vs Data Scientist?

AspectPhd In StatisticsData Scientist
Required CredentialsTypically a PhD in Statistics or related fieldOften a bachelor's or master's degree in a quantitative field; some roles prefer a PhD
Work EnvironmentAcademic, research institutions, or specialized analytics teamsCorporate, tech companies, or consulting firms
Industry UsageResearch, academia, government, and industry R&DBusiness analytics, product development, and data-driven decision making
Common Search & ComparisonYesYes

While a Phd In Statistics focuses on advanced research, theoretical development, and academic roles, Data Scientists apply statistical and machine learning techniques to solve practical business problems. Both roles require strong analytical skills, but Data Scientists often work in more applied, industry-focused environments, whereas PhD holders may pursue research or academic careers.

Is a PhD in statistics worth it?

A PhD in statistics can lead to advanced roles in academia, research, data science, and analytics, often requiring strong analytical and programming skills. While it offers high-level expertise and potential for higher salaries, it also involves significant time and financial investment, and job prospects depend on industry demand and individual specialization.

What can you do with a PhD in statistics?

A PhD in statistics prepares individuals for advanced roles in data analysis, research, and modeling across industries such as healthcare, finance, technology, and government. Graduates often work as data scientists, statisticians, quantitative analysts, or research scientists, utilizing skills in statistical software, programming, and data interpretation to solve complex problems. These roles typically require strong analytical abilities and knowledge of statistical methods and tools like R, Python, or SAS.

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Phd In Statistics jobs near you
Infographic showing various Phd In Statistics job openings in Delaware as of August 2026, with employment types broken down into 80% Full Time, 19% Part Time, and 1% Contract. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution.

Director, US and Global Forecasting and Analytics - Infectious Disease

Wilmington, DE • On-site

AstraZeneca
Pharmaceutical Product Wholesalers • 10K+ employees

8.4

Company rating: 8.4 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

24th of 86 rated pharmaceutical

People enjoy working here

Good employer

Recommended by students

Learn more about AstraZenecaexternal

Full-time

Posted 14 days ago

Job description

Director, US and Global Forecasting and Analytics - Infectious Disease (ID)
Wilmington, DE
Global Insights, Analytics & Forecasting, BBU
Hybrid Work - on average 3 days a week from office
The Director is a senior commercial insights leader responsible for US and global demand forecasting and analytics across the Infectious Disease portfolio. The role is predominantly forecast-focused, serving as the US and global forecasting lead and strategic thought partner to Marketing, Finance, Market Access, and US teams. The position also includes vendor management and forecasting-adjacent analytics leadership to ensure the effective deployment of analytical resources and continuous evolution of forecasting and insight capabilities within ID. Time allocation may vary by business cycle and portfolio priorities.
You'll play a critical role in shaping commercial expectations, risk and opportunity framing, and executive decision-making for in-market and late-stage pipeline infectious disease assets.
What you'll do
US and Global Forecasting Leadership (Core Accountability)
  • Lead US and global short-term and long-term demand forecasts (TRx, NBRx, volume, patients, revenue) for ID assets using robust, patient-based and market-based models.
  • Own forecast methodology, assumptions, and governance, ensuring objectivity, transparency, and consistency with enterprise standards.
  • Integrate primary market research, epidemiology, competitive intelligence, access dynamics, and real-world data into forecast models.
  • Proactively identify and quantify key risks and opportunities through scenario and sensitivity analyses.
  • Partner closely with Finance, Market Access & Pricing, Marketing, Sales, Medical, and Global Forecasting to ensure alignment on assumptions and implications.
  • Support business planning, governance reviews, and opportunity assessments with clear, executive-ready narratives.
  • Serve as a trusted advisor to senior marketing and finance leadership, clearly articulating forecast drivers and changes.

Analytics & Resource Leadership (Enablement)
  • Provide leadership over forecasting-adjacent analytics, ensuring analytics and insights are embedded into forecasting and business planning.
  • Manage and prioritize internal analysts, contractors, and external vendors supporting forecasting and analytics deliverables.
  • Partner with data analytics resources, Global IA&F, and GIBEX capability teams to deploy new tools, data sources, and modeling approaches.
  • Champion and identify new ways to embed AI and automation into the practice of data analytics and forecasting to drive efficiency, scalability, and decision quality.
  • Champion continuous improvement in forecasting processes, AI-enabled modeling, and automation.
  • Contribute to the development and sharing of best practices across the ID forecasting community.

Essential for the role
  • Bachelor's degree in a quantitative, scientific, or business-related field, such as Statistics, Economics, Mathematics, Engineering, or Computer/Data Science.
  • 4+ years' experience in US and global pharmaceutical commercial forecasting, including in-market and late-stage pipeline assets.
  • Hands-on model ownership experience, including build, refresh, and performance tracking across short- and long-term horizons.
  • Expertise in scenario-based forecasting, sensitivity analysis, and driver-based narratives to support senior decision-making.
  • Strong capability integrating multiple data types, such as IQVIA, claims, epidemiology, RWD/RWE, and primary research, into coherent, decision-grade forecasts.
  • Demonstrated forecast governance and model risk discipline, including traceable assumptions, documentation, and clear explanations.
  • Strong understanding of US market access and payer dynamics and how they impact demand, including coverage, contracting, channel, and policy.
  • Ability to translate complex analysis into clear, executive-ready insights, options, and recommendations.
  • Strong commercial competence across key demand levers, including positioning, adoption, competitive dynamics, and lifecycle events.

Desirable for the role
  • Advanced degree, such as MBA, MS, or PhD in Statistics, Economics, Decision Sciences, Data Science, or a related field.
  • Infectious Disease and/or Rare Disease experience, including familiarity with immunization dynamics, patient-based forecasting, and lifecycle management in preventive or infectious disease therapies.
  • Change leadership: builds adoption for new tools, processes, and ways of working across cross-functional stakeholders.
  • Product perspective for forecasting: defines user needs, success metrics, and a roadmap for portfolio forecasting capabilities.

Office Working Requirements
When we put unexpected teams in the same room, we unleash bold thinking with the power to inspire life-changing medicines. In-person working gives us the platform we need to connect, work at pace and challenge perceptions. That's why we work, on average, a minimum of three days per week from the office. But that doesn't mean we're not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our unique and ambitious world.
#LI-Hybrid
Date Posted
14-Aug-2026
Closing Date
27-Aug-2026
Our mission is to build an inclusive environment where equal employment opportunities are available to all applicants and employees. In furtherance of that mission, we welcome and consider applications from all qualified candidates, regardless of their protected characteristics. If you have a disability or special need that requires accommodation, please complete the corresponding section in the application form.
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About AstraZeneca

Sourced by ZipRecruiter

AstraZeneca is a global, science-led, patient-focused biopharmaceutical company that focuses on the discovery, development and commercialization of prescription medicines for some of the world's most serious diseases. But we're more than one of the world's leading pharmaceutical companies. A place built on courage, curiosity and collaboration - we make bold decisions driven by patient outcomes. Empowered to lead at every level, free to ask questions and take smart risks that write the next chapter for our pipeline and Oncology team. Make a meaningful impact that brings real benefits to society. By applying your knowledge of data, you will help to redefine our industry and ultimately save lives. Work with experts who share a common goal: to accelerate the potential of medicines and the science of tomorrow.

Industry

Pharmaceutical product wholesalers and pharmaceutical and medicine manufacturing

Company size

10,000+ Employees

Headquarters location

Cambridge, Cambridgeshire, GB

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