Assistant Pharmaceutical Forecasting Jobs (NOW HIRING)

Job Description
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Position Summary
The Director, Forecasting, WW Global, plays a critical role within Worldwide Commercial Excellence by independently developing, maintaining, and delivering forecasts for one or more therapeutic areas. This role is responsible for generating high-quality, objective forecasts that inform brand strategy, enterprise planning cycles, and cross-functional decision-making.
The Director integrates insight streams (market research, competitive intelligence, chart audits), ensures assumptions are transparent and evidence-based, and collaborates closely with Finance, MAx, Commercial, and Worldwide partners. At this level, the role focuses on hands-on model execution, rigorous quality control, and the application of AI-first forecasting tools through calibration and structured improvements.
This position is ideal for an analytically strong, intellectually curious forecasting professional who thrives in a fast-paced environment and is excited to apply AI-enabled forecasting methodologies.
Key Responsibilities
Forecasting & Insight Integration
Independently lead the end-to-end forecasting process for assigned brands or therapeutic areas, delivering accurate, objective output grounded in transparent assumptions.
Integrate insights from market research, competitive intelligence, and chart audits to strengthen assumptions and contextualize forecast outcomes.
Support short-term (1- and 3-year) and long-range (10-year) forecasting cycles with structured, analytically rigorous projections.
Translate complex business questions into structured forecasting analyses and scenario plans.
Advanced Analytics & AI-First Forecasting
Develop, maintain, and execute AI-first forecasting models (Excel-based, algorithmic, or data-enabled), ensuring calibration, documentation, and alignment with enterprise standards.
Conduct scenario analyses and sensitivity assessments to highlight drivers of uncertainty and enable strategic discussions.
Provide feedback to Forecasting Transformation, Data Science, and BI&T teams to improve forecasting logic, data pipelines, and assumption structures.
Ensure consistency in forecasting logic across therapeutic areas and planning cycles to support broader enterprise alignment.
Cross-Functional Alignment
Partner with Finance, MAx, Commercial, Pricing, Medical, and Worldwide teams to align assumptions and ensure a unified forecasting narrative.
Participate in cross-functional reviews to explain forecast drivers, risks, and opportunities, providing an unbiased point of view.
Ensure forecasts reflect real-time market dynamics, competitive signals, customer behavior, access changes, and operational considerations.
Support enterprise planning cycles (P-cycles, Budget, LTFP) by providing timely and accurate inputs.
Operational Excellence & Governance
Maintain rigorous quality control across datasets, assumptions, model logic, and outputs.
Ensure transparency, audit readiness, and reproducibility of forecasting deliverables through strong documentation and consistent structure.
Identify opportunities to streamline tools, templates, and processes to enhance clarity and efficiency.
Support adherence to standardized forecasting practices and enterprise model-risk guidelines.
AI-First Capability Support
Partner with Data Science, BI&T, and Forecasting Transformation teams to assist with model calibration, testing of new model components, and alignment with existing methodologies.
Contribute to capability building by sharing best practices, structured approaches, and high-quality forecasting principles with peers.
Leadership & Collaboration
Provide informal mentorship and day-to-day guidance to analysts and senior analysts, supporting capability development within the forecasting community.
Model structured thinking, data integrity, intellectual curiosity, and an enterprise-minded approach to decision support.
Foster strong collaborative relationships and contribute to a culture of transparency, innovation, and continuous improvement.
Additional Qualifications/Responsibilities
Qualifications, Skills & Experience
8+ years of experience in pharmaceutical forecasting, commercial analytics, or related quantitative fields.
Bachelor's degree required.
Proficiency in forecasting methodologies, scenario modeling, and use of pharmaceutical secondary data (e.g., IQVIA, Symphony).
Experience developing or using Excel-based, algorithmic, or AI-enabled forecast models.
Familiarity with Python or comparable analytical tools to support model calibration or analytical enhancements (preferred, not required).
Strong ability to synthesize complex data into clear, actionable insights.
Excellent communication and data-storytelling skills, with the ability to present clearly to cross-functional partners.
Ability to operate in a dynamic environment, manage ambiguity, and apply structured problem-solving.
Demonstrated commitment to rigorous quality control, model accuracy, and methodological transparency.
Intellectual curiosity, adaptability, and enthusiasm for embedding AI-first thinking into forecasting capabilities.
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If you come across a role that intrigues you but doesn't perfectly line up with your resume, we encourage you to apply anyway. You could be one step away from work that will transform your life and career.
Compensation Overview:
Princeton - NJ - US: $197,800 - $239,681