Full-Time Data Analyst- Decision Intelligence

Biogen’s Decision & Quality Analytics Innovation (DQAI) team leverages advanced analytics to provide strategic insights 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

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

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. 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 may offset experience requirements.
• Demonstrated experience with Monte Carlo simulations, clinical portfolio analytics, and mathematical optimization techniques.
• Proficiency in data analysis and visualization tools (PowerBI, Pandas, NumPy, Scikit-learn, Matplotlib).
• Hands-on experience with exploratory data analysis, building simulation models, and presenting findings.
• Proficiency in at least one programming language (Python, R, SQL, JavaScript).
• Excellent analytical and problem-solving skills.
• Collaborative mindset to work effectively in cross-functional teams.

Preferred Skills

• Experience with full-stack development (e.g., React and Flask).
• Familiarity with clinical portfolio management and analytics.
• Understanding of financial analysis and metrics (eNPV, NOPAT, COGS).

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