Data Analyst- Decision Intelligence

Job Description

About This Role

Biogen’s Decision & Quality Analytics Innovation (DQAI) team, part of Portfolio Leadership, Analytics & Insights (PLAI) under Research, Development, and Medical (RD&M), leverages advanced analytics to provide strategic insights and prescriptive recommendations for quality and portfolio decisions. We are seeking a Data Analyst – Decision Intelligence to drive strategic decision-making using advanced statistical modeling, simulation, and optimization techniques. This role requires a deep understanding of pharmaceutical R&D or drug development processes to maximize value, optimize resource allocation, and enhance portfolio performance through data-driven insights.

What You’ll Do

• Modeling & Analytics: Develop and enhance simulation models (e.g., Monte Carlo) to assess risk, time, cost, and value for programs and portfolios.
• Portfolio Optimization: Provide portfolio-level insights with scenario analysis and trade-offs to support leadership decisions using key metrics (e.g., eNPV, ePI, launch dates).
• Metric Visualization: Implement and visualize key metrics through dashboards and reports.
• Decision Intelligence: Deploy advanced statistical and machine learning models to inform clinical development and portfolio strategy.
• Stakeholder Collaboration: Engage with functional stakeholders (Finance, Commercial, Clinical) to ensure strategic alignment and challenge assumptions constructively.
• Data Management: Ensure data quality and integration by collaborating across teams.
• User Adoption: Facilitate user testing and feedback to improve modeling tools and drive adoption for better decision-making.

Qualifications

Who You Are

You love analytics and are passionate about using data to drive key business decisions. You love learning new technological skills and working through collaboration.

Required Skills

• B.S. (or higher) in Data Science, Healthcare Analytics, Statistics, Biostatistics, Econometrics, Economics, Engineering, or a related quantitative field.
• 1-3 years of experience in Pharma R&D business processes, investment stage gating, and portfolio management; advanced degrees (M.S., PhD) may offset experience requirements.
• Demonstrated experience with Monte Carlo simulations, clinical portfolio analytics, and mathematical optimization techniques.
• Proficiency in data analysis and visualization tools such as PowerBI, Pandas, NumPy, Scikit-learn, and Matplotlib.
• Hands-on experience with exploratory data analysis, building simulation models, and presenting findings to stakeholders.
• Proficiency in at least one programming language: Python, R, SQL, or JavaScript.
• Excellent analytical and problem-solving skills in fast-paced environments.
• Collaborative mindset with the ability to work effectively in cross-functional teams.

Preferred Skills

• Experience with full-stack development (e.g., React and Flask) for interactive analytical applications.
• Familiarity with the clinical portfolio management and analytics.
• Understanding of financial analysis and metrics, such as eNPV, NOPAT, COGS, etc

Additional Information

The base compensation range for this role is $103,000 to …