Machine Learning Internship: Unlocking Genomic Secrets

1 week ago


Chicago, Illinois, United States AbbVie Full time
Job Description:

At AbbVie, we're pushing the boundaries of genomics research. Our Genomics Research Center is a hub for innovative bioinformatics and functional genomics work. As a Single-Cell Machine Learning Intern, you'll be part of a dynamic team driving cutting-edge research in the field.

Key Responsibilities:
  • Develop robust methods for reference-based, automated cell type assignment in single-cell RNA datasets
  • Collaborate with scientists in the Bioinformatics Genomic Sciences group to lay the foundations for a best-in-class statistical model
  • Evaluate different methods for reference-based cell-type assignment and work across therapeutic areas to identify crucial differentiators
  • Identify gaps in methodology and resources, driving continuous improvement in our research

Qualifications:
  • Currently enrolled in a university, pursuing a PhD in Bioinformatics, Statistics, Applied Mathematics, Machine Learning, or a related field
  • Experience with single-cell RNA-Seq methods, R, Python, or other high-dimensional statistical-modelling enabled languages
  • Familiarity with PyTorch, Keras, or TensorFlow ecosystems is a plus

Benefits and Amenities:
  • Competitive pay and relocation support for eligible students
  • Select wellness benefits and paid holiday/sick time
  • Co-mentorship from established scientific and industry leaders


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