Principal Analyst, Operations and Health Systems Research

Role: Principal Analyst, Operations and Health Systems Research within Biogen's Quantitative Sciences Development Organization, focusing on advancing disease research through data science, machine learning, and operations research. Responsibilities: design and implement complex data pipelines, develop epidemiological and forecasting models using real-world data sources, and apply optimization, simulation, and network modeling techniques to analyze health system utilization and clinical trial dynamics. Contribute to evidence generation and communicate findings at scientific forums and in peer-reviewed publications. Requirements: minimum 5 years in pharma/biotech/healthcare or academic research, expertise in data science, machine learning, operations research, and programming in Python/R with libraries like scikit-learn, TensorFlow, or PyTorch. Experience working with electronic health records and real-world data, and implementing software development best practices. Preferred: strong communication skills for technical and stakeholder engagement, experience in clinical or epidemiological modeling, and a background in public health, epidemiology, or operations research. High-value: focus on complex disease areas, integrating sensor and clinical data, employing advanced modeling techniques, with an emphasis on translational and clinical research applications. Work setup details and travel specifics are not provided.