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Co-op, Machine Learning Data Scientist

AT Biogen
Biogen

Co-op, Machine Learning Data Scientist

Cambridge, MA

Job Description

This application is for a 6-month student role from January - June 2025. Resume review begins in October 2024.

Our team is Computational Biology. The aim of our team is to perform high quality computational analysis on genomics/transcriptomics datasets, standardize NGS data analysis pipelines, and work on cutting edge AI/ML tools and technologies. We collaborate closely with all discovery teams to perform computational analysis of NGS datasets. These includes analysis of RNAseq, snRNAseq, spatial transcriptomics data to perform target identification, engagement and assessment.

Position Description

Detailed description of role including but not limited to:

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  • Leverage cutting-edge machine learning models to improve 1.single cell RNA-seq analysis, 2. Image segmentation for spatial transcriptomics
  • Implement machine learning algorithms and develop computational tools/packages
  • Attend scheduled team bi-weekly meetings
  • Give bi-weekly updates of progress.

Example projects may include:

  • Utilizing computer vision and LLM models to enhance segmentation in spatial transcriptomics data and refine cell calling across diverse spatial transcriptomics platforms and tissue types
  • Developing and maintaining computational tools (gpu computing, scRNA-seq analysis, etc.).

Qualifications

  • Strong programming experience in Python, Pytorch
  • Extensive experience using UNIX Bash and high-performance computing (HPC)
  • Solid knowledge in machine learning
  • Excellent interpersonal and communication skills, both verbal and written. Ability to collaborate effectively within a team
  • Not required but a plus: Hands-on experience in single-cell RNA-seq analysis; Hands-on experience in image segmentation, LLM models; related publications

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 community college, college or university

Education

Pursuing PhD.

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.

All qualified applicants will receive consideration for employment without regard to sex, gender identity or expression, sexual orientation, marital status, race, color, national origin, ancestry, ethnicity, religion, age, veteran status, disability, genetic information or any other basis protected by federal, state or local law. Biogen is an E-Verify Employer in the United States.

 

Client-provided location(s): Cambridge, MA, USA
Job ID: b5729f75-606e-48a2-80f6-df8419ff3c8d
Employment Type: Intern

Perks and Benefits

  • Health and Wellness

    • FSA
    • HSA
    • On-Site Gym
    • Health Insurance
    • Dental Insurance
    • Vision Insurance
    • Life Insurance
    • Short-Term Disability
    • Long-Term Disability
    • Mental Health Benefits
    • Fitness Subsidies
    • HSA With Employer Contribution
  • Parental Benefits

    • On-site/Nearby Childcare
    • Fertility Benefits
    • Adoption Assistance Program
    • Family Support Resources
    • Birth Parent or Maternity Leave
    • Non-Birth Parent or Paternity Leave
    • Adoption Leave
  • Work Flexibility

    • Remote Work Opportunities
    • Flexible Work Hours
    • Hybrid Work Opportunities
  • Office Life and Perks

    • Commuter Benefits Program
    • Happy Hours
    • Some Meals Provided
    • Company Outings
    • On-Site Cafeteria
    • Holiday Events
  • Vacation and Time Off

    • Leave of Absence
    • Personal/Sick Days
    • Paid Holidays
    • Paid Vacation
    • Sabbatical
    • Volunteer Time Off
    • Summer Fridays
  • Financial and Retirement

    • Relocation Assistance
    • Performance Bonus
    • Company Equity
    • 401(K) With Company Matching
    • Stock Purchase Program
    • Financial Counseling
  • Professional Development

    • Promote From Within
    • Access to Online Courses
    • Lunch and Learns
    • Tuition Reimbursement
    • Internship Program
    • Leadership Training Program
    • Mentor Program
    • Shadowing Opportunities
  • Diversity and Inclusion

    • Diversity, Equity, and Inclusion Program
    • Employee Resource Groups (ERG)