Principal Scientist - gRED Computational Sciences Digital Pathology | South San Francisco, California, United States | Genentech, Inc.

Position:	Principal Scientist - gRED Computational Sciences Digital Pathology
Institution:	Genentech, Inc.
Location:	South San Francisco, California, United States
Duties:	Applying and developing digital pathology methods to extract disease biology insights and support innovative clinical development and research programs; Actively and collaboratively promoting scientific and technical innovation with other members of the department, including subject matter experts in disease biology, companion diagnostics, and data science; Directing and supporting publications in high quality scientific, technical, or medical journals; Representing the department through interactions with computational, biological and translational research collaborators
Requirements:	PhD degree in a relevant field (e.g. computer science, computational biology, bioinformatics, molecular biology, cancer biology); Minimum of 3 years post-PhD experience, with demonstrated scientific contribution in digital pathology in academia and/or industry; Fluency with Python and statistical data analysis using modern frameworks (e.g. R, NumPy)

Text:	Principal Scientist - gRED Computational Sciences Digital Pathology Applying and developing digital pathology methods to extract disease biology insights and support innovative clinical development and research programs; Actively and collaboratively promoting scientific and technical innovation with other members of the department, including subject matter experts in disease biology, companion diagnostics, and data science; Directing and supporting publications in high quality scientific, technical, or medical journals; Representing the department through interactions with computational, biological and translational research collaborators PhD degree in a relevant field (e.g. computer science, computational biology, bioinformatics, molecular biology, cancer biology); Minimum of 3 years post-PhD experience, with demonstrated scientific contribution in digital pathology in academia and/or industry; Fluency with Python and statistical data analysis using modern frameworks (e.g. R, NumPy)