Data Analyst

Summary

Join Biogen's Decision & Quality Analytics Innovation (DQAI) team as a Data Analyst – Decision Intelligence, where you'll leverage advanced analytics to provide strategic insights and prescriptive recommendations for quality and portfolio decisions. You'll develop and enhance simulation models, provide portfolio-level insights, implement and visualize key metrics, and deploy advanced statistical and machine learning models to inform clinical development and portfolio strategy. This role requires strong collaboration with stakeholders, data management expertise, and a passion for using data to drive key business decisions.

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

• 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

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

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