South San Francisco
California, United States of America
Our goal is to massively increase the information we obtain from digital histopathology slides, by applying computational methods to aid pathological evaluation that hitherto, only humans have been able to do. We seek an associate scientist or scientist to join our digital pathology and image analysis lab, dedicated to enhancing decision making in the post-research, pre-clinical drug development phase using cutting edge approaches such as machine learning algorithms. Currently, biomedical image analysis is under-utilized at the crucial time when candidate drugs are rigorously tested for safety, and scrutinized to understand their mechanism of action. This is an opportunity to enter the exciting field of digital pathology, and make a real contribution in developing safe, personalized drugs to best meet patient needs.
In hiring new employees, we look for people who are also inspired by our mission and who would fit in well with the collaborative, rigorous and entrepreneurial spirit of the company culture. Because we know that employees are critical to our success in bringing novel medicines to patients, we are dedicated to remaining a great place to work and to providing employees with programs, services and benefits that allow them to bring the best to the business and to their personal lives. We are looking for a team player who is a creative, independent thinker, thrives in a widely interdisciplinary environment, and enjoys working closely and communicating effectively with colleagues in extremely diverse fields. We are looking for someone who can think out of the box and apply new ideas to scientific problems without regard for disciplinary boundaries and who is driven to work at the leading edge of scientific knowledge.
The ideal candidate will have a PhD and experience and expertise in the area of informatics/big data science, advanced training and experience in statistical analysis, especially in the context of big data, and a demonstrated ability to develop new models and statistics for complex scientific analyses. The ideal candidate would also have experience in spatial data mining and knowledge extraction from images in the context of big data in any field, including fields such as astronomy, astrophysics, meteorology, geosciences, medical radiology, microscopy, computer sciences, or any other field using large images as data sources. Familiarity with digital pathology would be advantageous, but is not required. Experience with multidimensional data and spectral analysis desired. Experience with Python programming, MATLAB, R programming is a plus, and willingness and ability to learn these skills is essential. Post-doc or industry experience would be advantageous. Experience with image data repository design and image- and metadata management is a plus.
A member of the Roche Group, Genentech has been at the forefront of the biotechnology industry for more than 40 years, using human genetic information to develop novel medicines for serious and life-threatening diseases. Genentech has multiple therapies on the market for cancer & other serious illnesses. Please take this opportunity to learn about Genentech where we believe that our employees are our most important asset & are dedicated to remaining a great place to work.
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Genentech is an equal opportunity employer & prohibits unlawful discrimination based on race, color, religion, gender, sexual orientation, gender identity/expression, national origin/ancestry, age, disability, marital & veteran status. For more information about equal employment opportunity, visit our Genentech Careers page.
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