Job Description

About This Role

Biogen studies highly complex, devastating, and burdensome diseases and there are still significant challenges in how we understand and treat them.

In the Quantitative Sciences Development Organization we aspire to transform patients’ lives by accelerating disease research using best in breed and emerging techniques. Leveraging applied machine learning and emerging technologies, we drive solutions to advance research, clinical care, and patient empowerment.

We stand with our colleagues across Biogen developing pioneering treatments. We believe that now, more than ever, biology and technology should go hand-in-hand to better meet patient needs, while enabling a shift towards more prevention-focused, affordable, and equitable care.

What You’ll Do

As a Machine Learning Engineer, you will:

• Design, develop, and implement complex end-to-end data pipelines, engineer features and disease models for potential biomarkers/endpoints from sensor-based data
• Integrate real world data sources in order to build epidemiological and disease forecasting models used to support decision-making for clinical trial operations
• Perform technical, analytical, and clinical validation analyses and communicate results, including at conferences and in peer-reviewed publications for audiences in the therapeutic area of interest, sensor science, machine learning and operations research.
• Support integration, design and development of novel measures, models, and metrics to assess model validity and performance in both training and inference stages

Who You Are

You are passionate about exploring and establishing new methods for looking at data across devices, applications, data streams, and diseases. You love figuring out how to create mathematical and statistical models that relate human biology, clinical development, and sensor technology to business outcomes and patient needs.

Qualifications

Required Skills

• minimum 5 years Pharma/Biotech/Tech industry experience, alternatively extensive experience in academic/clinical centers of excellence
• Expertise in the field of sensor-based signal processing leveraging state of the art methodologies, programming languages, and tools
• Experience in managing complex, interdisciplinary research, and development projects, especially in the fields of software and technology implementation
• Profound experience in data science, machine learning, and data engineering programming using python/R and higher-level libraries such as numpy, pandas, scipy, statsmodels, scikit-learn, TensorFlow, matplotlib, Plotly, tidyverse ggplot, mlr, tidymodels or similar

Preferred Skills

• Experienced in communicating and building consensus on difficult or sensitive information with technology and business teams
• Familiarity and experience working on machine learning and data science problems using formal software development lifecycle approaches and best practices
• Formal application of principles of empirical science including statistical modeling, design of experiments, and hypothesis formulation and testing

Additional Information

Why Biogen?

We are a global team with a commitment to excellence, and a pioneering spirit. As a mid-sized biotechnology company, we provide the stability and resources of a well-established business while fostering an environment where individual contributions make a significant impact. Our team encompasses some of the most talented and passionate achievers who have unparalleled opportunities for learning, growth, and expanding their skills. Above all, we work together to deliver life-changing medicines, with every role playing a vital part in our mission. Caring Deeply. Achieving Excellence. Changing Lives.

At Biogen, we are committed to building on our culture of inclusion and belonging that reflects the communities where we operate and the patients we serve. We know that diverse backgrounds, cultures, and perspectives make us a stronger and more innovative company, and we are focused on building teams where every employee feels empowered and inspired. Read on to learn more about our DE&I efforts.