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Phd In Statistics Jobs in Delaware (NOW HIRING)

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Applied AI/ML - Vice President

Wilmington, DE · On-site

$120 - $160/hr

Bachelor's degree or MS or PhD in quantitative discipline, e.g. Computer Science, Mathematics ... Solid understanding of fundamentals of statistics, machine learning (e.g., classification ...

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Phd In Statistics information

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.

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, quantitative analysts, research scientists, or statisticians, 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.

Is a PhD in statistics worth it?

A PhD in statistics can lead to advanced roles in research, data science, and academia, 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 are popular job titles related to Phd In Statistics jobs in Delaware? For Phd In Statistics jobs in Delaware, the most frequently searched job titles are:
What job categories do people searching Phd In Statistics jobs in Delaware look for? The top searched job categories for Phd In Statistics jobs in Delaware are:
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 77% Full Time, 20% Part Time, 1% Temporary, and 2% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution.

Director, US Forecasting & Analytics- Vaccines & Immune Therapies

AstraZeneca

Wilmington, DE • On-site

Full-time

Posted 2 days ago

New

AstraZeneca rating

8.4

Company rating: 8.4 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

21st of 86 rated pharmaceutical

Job description

Director, US Forecasting & Analytics - Vaccines & Immune Therapies (V&I)
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 demand forecasting and analytics across the Vaccines and Immune Therapies portfolio. The role is predominantly forecast-focused, serving as the US 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 V&I. 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 vaccines and immune therapies.
What you'll do
US Forecasting Leadership (Core Accountability)
  • Lead US short-term and long-term demand forecasts (TRx, NBRx, volume, patients, revenue) for V&I 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 advanced 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 V&I forecasting community

Essential for the role
  • Bachelor's degree in a quantitative, scientific, or business-related field (e.g., Statistics, Economics, Mathematics, Engineering, Computer/Data Science)
  • 8+ years' experience in US pharmaceutical commercial forecasting, including in-market and late-stage pipeline assets
  • Hands-on model ownership experience (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 (e.g., IQVIA, claims, epidemiology, RWD/RWE, primary research) into coherent, decision grade forecasts
  • Knowledge of advanced analytics/ML approaches (e.g., time series, causal inference, ensembles) vs. traditional methods
  • Fluency in modern analytics tooling and automation (e.g., Python/R/SQL, BI/visualization), with ability to partner with data engineering and analytics teams
  • Demonstrated forecast governance and model risk discipline (traceable assumptions, documentation, and clear explanations)
  • Strong understanding of US market access and payer dynamics and how they impact demand (coverage, contracting, channel, policy)
  • Ability to translate complex analysis into clear, executive-ready insights, options, and recommendations
  • Strong commercial competence across key demand levers (positioning, adoption, competitive dynamics, lifecycle events)

Desirable for the role
  • Advanced degree (e.g., MBA, MS, PhD in Statistics, Economics, Decision Sciences, Data Science, or related field).
  • Vaccines and/or Rare Disease experience, including familiarity with immunization dynamics, patient-based forecasting, and lifecycle management in preventive or immune-mediated 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
  • Model lifecycle practices (e.g., reproducibility, versioning, monitoring/drift awareness); familiarity with MLOps concepts

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
05-Aug-2026
Closing Date
18-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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