Co-op, Machine Learning Data Scientist

Cambridge, MA, United States

Applications have closed

Biogen

Biogen is a leading global biotechnology company that pioneers science and drives innovations for complex and devastating diseases. Biogen is advancing a pipeline of potential therapies across neurology, neuropsychiatry, specialized immunology...

View all jobs at Biogen

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:

  • 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.

 

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Job stats:  9  3  0

Tags: Biology Computer Vision Data analysis GPU HPC LLMs Machine Learning ML models PhD Pipelines Python PyTorch

Perks/benefits: Career development Startup environment

Region: North America
Country: United States

More jobs like this