Co-op, Machine Learning Engineer

Company Description

At Biogen, our mission is clear - we are pioneers in neuroscience. Biogen discovers, develops, and delivers worldwide innovative therapies for people living with serious neurological and neurodegenerative diseases. Together, our employees create, commercialize, and manufacture transformative therapies for our patient population. 

We at Biogen are committed to building on our culture of inclusion and belonging that reflects the communities where we operate and the patients who we serve. We are focused on strengthening our foundation to advance our overall Diversity, Equity and Inclusion (DE&I) strategy and, most importantly, ensure all our employees feel included.

As an intern or co-op at Biogen, you can expect to be placed on a real project, under the guidance of experienced professionals and subject matter experts who are invested in your career and academic growth. We also ensure that you have plenty of opportunities to build your network, learn more about our organization through weekly lunch and learns led by leaders from across the company, and join us for several fun events.

Job Description

This application is for a 6-month student role from January - June 2023. Resume review begins in October 2022.

The Data Office of Biogen Digital Health generates tools, technologies and techniques that connect the patient journey living with complex disease in real world setting to scientific knowledge production, clinical improvement, and discovery processes and practices. We implement new technologies, design with the end user in mind, and assess how to best bridge gaps between our ability “to measure” and “to know”. We are seeking Machine Learning Engineers to work alongside clinical informaticists, data scientists, software developers, science and medical leaders, and platform architects.  

Position Description

As a Machine Learning Engineer co-op, you will work to develop and implement solutions to accelerate our ability to define, describe, enhance, and steward data throughout the scientific and engineering lifecycle. You will join Agile Scrum teams and work alongside subject matter experts in fields like Real World Data, Distributed Clinical Trials, and ML Ops for Biomedical Image and Instrumentation Pipelines.

You will take end-to-end ownership of at least one data product or application feature during their internship, including understanding the data generated to enable the product or feature, working with cloud-based distributed computing platforms to enable the product or feature, and understanding how the software development lifecycle intersects with both the regulatory lifecycle and the scientific method.

Deliverables during this internship will include:

• Code (functions, utilities, and application code)
• Architecture
• Design documents

Example projects may include:

• Implementing best practices for hyperscale data management from distributed sensors
• Generating APIs for ML Ops infrastructure for radiomics and image processing  
• Evaluating and managing methods to assess and prevent algorithmic bias across the care and discovery journey

Qualifications

Candidates should have the following qualifications:

• Fluency in Python, SQL, and version control systems
• Experience working/implementing supervised and unsupervised machine learning techniques on columnar data
• Interest in regulated processed for biomedical discovery
• Familiarity with cloud computing and distributed computing frameworks

Ideal candidates will also have interest or experience with:

• Data privacy, stewardship, and governance frameworks
• Statistical signal processing experience
• Clinical informatics experience or experience dealing with data from experimental or clinical settings

To participate in the Biogen Internship Program, students must meet the following eligibility criteria:

• Legal authorization to work in the U.S.
• At least 18 years of age prior to the scheduled start date
• Be currently enrolled in an accredited college or university

Education

Master’s or above in Computer Science, Mathematics, Clinical Informatics, or Data Science.

Additional Information

All your information will be kept confidential according to EEO guidelines.