Data Analyst-Decision Intelligence

Summary

Join Biogen's Decision & Quality Analytics Innovation (DQAI) team as a Data Analyst – Decision Intelligence. You will leverage advanced analytics to provide strategic insights and prescriptive recommendations for quality and portfolio decisions within the pharmaceutical R&D domain. This role involves developing and enhancing simulation models, optimizing portfolios, visualizing key metrics, deploying advanced statistical and machine learning models, and collaborating with stakeholders. A deep understanding of pharmaceutical R&D processes is crucial for maximizing value and enhancing portfolio performance. The position requires strong analytical and problem-solving skills, proficiency in data analysis tools, and experience with Monte Carlo simulations and clinical portfolio analytics. Biogen offers a competitive salary and a comprehensive benefits package.

Requirements

• 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

Responsibilities

• 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 and challenge assumptions constructively
• 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

Preferred Qualifications

• 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

Benefits

• LTI grants
• Other incentive programs
• Medical, dental, life, long and short-term disability insurances
• Vacation
• End-of-year shutdown
• 401K participation and matching contributions