Principal Machine Learning Engineer

As a Principal Machine Learning Engineer focused on Clinical Trial Forecasting and Optimization, you will be an integral part of our Quantitative Sciences Development team, dedicated to transforming patient lives through advanced disease research. Your role involves leveraging applied machine learning to develop innovative tools and methodologies, improving data-driven decision-making for clinical operations. You will lead projects that enhance Biogen's capacity to bring products to market efficiently, working closely with cross-functional teams. This position is pivotal in driving our strategic vision to establish Biogen as a leader in neuroscience, neurology, immunology, and rare diseases. Your contributions will directly influence our corporate vision and strategy, helping to advance research and patient empowerment while fitting seamlessly into our collaborative environment.

What You'll Do:

*Design, develop, and implement complex machine learning pipelines for clinical trial forecasting and optimization.

*Engineer forecasting models and features to enhance clinical operations.

*Conduct technical, analytical, and performance validation analysis using CI/CD and MLOps pipelines.

*Review code and code artifacts to ensure high-quality algorithmic designs compliant with industry standards.

*Integrate and develop novel sensor-based measurement solutions.

*Improve tools and applications for clinical operations forecasting.

*Serve as a key stakeholder and subject matter expert in internal and external alliances.

*Collaborate with diverse teams to advance clinical trial optimization strategies.

Who You Are:You possess a deep passion for advancing human disease understanding through digital technologies. Your intrinsic motivation drives you to solve complex problems, offering innovative perspectives and exercising sound judgment. You thrive in collaborative environments, effectively communicating and building consensus across diverse teams. Your expertise in data science and machine learning, coupled with your ability to manage interdisciplinary projects, positions you as a valuable asset to our organization.

Required Skills:

*PhD in biomechanical engineering, data science, bioinformatics, computer science, or applied mathematics; or Master's degree with additional experience.

*At least 5 years of experience in Pharma/Biotech/Tech industry or significant academic/clinical experience.

*Expertise in data visualization, application development with machine learning endpoints, and user experience design.

*Proficiency in programming with Python and relevant libraries (numpy, pandas, scipy, statsmodels, scikit-learn, TensorFlow, matplotlib, Plotly).

*Experience managing complex interdisciplinary research and development projects.

Preferred Skills:

*Strong background in temporal forecasting methodologies.

*Experience in building consensus within technology and business teams.

*Familiarity with emerging technologies in clinical trials.

Job Level: Management

Additional Information

The base compensation range for this role is: -

Base salary offered is determined through an analytical approach utilizing a combination of factors including, but not limited to, relevant skills & experience, job location, and internal equity.

Regular employees are eligible to receive both short term and long-term incentives, including cash bonus and equity incentive opportunities, designed to reward recent achievements and recognize your future potential based on individual, business unit and company performance.

In addition to compensation, Biogen offers a full and highly competitive range of benefits designed to support our employees' and their families physical, financial, emotional, and social well-being; including, but not limited to:

Medical, Dental, Vision, & Life insurances
Fitness & Wellness programs including a fitness reimbursement
Short- and Long-Term Disability insurance
A minimum of 15 days of paid vacation and an addition