Machine Learning Internship: Unlocking Genomic Secrets
1 week ago
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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Chicago, Illinois, United States AbbVie Full timeAbout the RoleWe are seeking a talented researcher to join our team at AbbVie's Genomics Research Center (GRC) as a single-cell machine learning intern.Job DescriptionThis internship will provide the candidate with exposure to multiple, diverse therapeutic areas and bioinformatics disciplines. The successful intern will be co-mentored by scientists in the...
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