Director, Strategic Forecasting, Oncology

The Role

Moderna continues to expand its innovative mRNA platform, unlocking new applications across diseases and therapeutic areas. As the company advances its oncology pipeline, including a personalized mRNA therapy intismeran in collaboration with Merck, a Phase 2 off-the-shelf cancer therapy (mRNA-4359), and additional cancer antigen therapies (mRNA-4106 and mRNA-4203) entering Phase 1, this role will play a critical part in shaping portfolio decisions.

Moderna is seeking a Director of Strategic Forecasting to lead global revenue forecasting for its oncology portfolio, spanning early research through launch readiness. This high-impact individual contributor role sits within the Commercial organization and supports investment decisions, portfolio planning, and long-range forecasting for pipeline assets as well as operational US forecasting for intismeran.

This role partners closely with R&D, Commercial, Finance, and CMC to deliver operational and strategic forecasts, scenario plans, and market insights that shape Moderna’s direction in oncology.

Here's What You’ll Do

• Partner with alliance stakeholders at Merck to develop strategic and operational forecasts for intismeran and define KPIs to track launch performance.
• Develop revenue forecasts focused on the oncology pipeline to inform decision-making from preclinical research through commercialization.
• Deliver scenario analyses and contextualize uncertainty to support key strategic decisions and leadership planning.
• Generate deep insights on products and markets of interest through secondary and primary research and data analytics (partnering with insights functions as needed).
• Serve as a forecasting partner to cross-functional stakeholders in R&D, Finance, CMC and Commercial to contribute forecasting insights in cross-functional forums.
• Drive integration of program-level forecasts into broader portfolio models and long-range planning frameworks, in close collaboration with Finance and Strategy teams, to support operational alignment and strategic decision-making.
• Stay ahead of industry trends, competitive developments, and market dynamics to provide forward-looking insights and shape strategic planning.
• Support portfolio investment decisions by delivering evidence-based forecasts and scenario models that reflect market dynamics and clinical development risk.

Here’s What You’ll Need (Basic Qualifications)

• 8+ years of experience in forecasting, analytics or strategic planning within the biopharmaceutical or life sciences industry, with exposure to multiple stages of drug development.
• Bachelor’s degree in business, life sciences, or a related field.
• Strong expertise in revenue forecasting, including applications across pipeline programs, inline products, and enterprise planning.
• Experience supporting LRP, LE, or other enterprise-level financial and operational planning processes.
• Experience in gathering various types of insights (secondary research, primary research, data analytics etc.) and integrating them to inform forecasting assumptions and strategic questions.
• Strong familiarity with the oncology market dynamics.
• Knowledge of oncology-specific datasets covering market landscape, competitive intelligence, real-world product utilization, prescription behavior etc.

Here’s What You’ll Bring to the Table (Preferred Qualifications)

• Advanced degree (MBA, MS, PhD) preferred.
• Launch performance metrics development experience a plus.
• Prior consulting and/or market research/ CI/ analytics experience is a plus.
• Prior oncology forecasting experience strongly preferred, particularly in early-stage or novel modalities.
• Strategic thinking skills with the ability to synthesize complex data and insights into clear, actionable recommendations.
• Proven ability to partner cross-functionally and influence stakeholders across R&D, Commercial, and Finance.
• Expertise in building and interpreting strategic forecasts, portfolio models, and scenario planning analyses; specific oncology experience preferred.
• Advanced analytics capability with executive-level communication - ability to work with large, complex datasets (e.g., claims or prescription drug use databases) to inform model inputs and generate robust forecast ranges.
• Strong communication and presentation skills to effectively present insights and recommendations to executive leadership.
• Curiosity mindset in applying latest technological developments, including GenAI, to enhance forecasting tools and processes.
• A passion for contributing to a transformative company that is Bold, Relentless, Curious, and Collaborative.