Summary

The Department of Pediatrics is seeking a Postdoctoral Associate. The applicant will develop methods to deconvolve RNA-seq data using references defined by scRNA-seq assays. The development will include cancer-type specific approaches, as well as AI approaches that train on scRNA-seq. They will also be charged with implementing follow up validation experiments. 

Job Duties

• Designs and implements machine and deep learning programs.
• Develops algorithms to deconvolve RNA-seq data and compare them to AI-based methods.
• Performs follow up validation efforts on cell lines. 

Minimum Qualifications

• MD or Ph.D. in Basic Science, Health Science, or a related field.
• No experience required.

Preferred Qualifications

• PhD in computational science
• Working knowledge of machine learning and deep learning
• 3 years of experience working on cancer challenges