Principal Machine Learning Engineer

Biogen

About The Position

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.

Requirements

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.

Nice To Haves

Strong background in temporal forecasting methodologies.
Experience in building consensus within technology and business teams.
Familiarity with emerging technologies in clinical trials.

Responsibilities

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.

Benefits

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 additional end-of-year shutdown time off (Dec 26-Dec 31)
Up to 12 company paid holidays + 3 paid days off for Personal Significance
80 hours of sick time per calendar year
Paid Maternity and Parental Leave benefit
401(k) program participation with company matched contributions
Employee stock purchase plan
Tuition reimbursement of up to $10,000 per calendar year
Employee Resource Groups participation