South San Francisco
California, United States of America
We are looking for an expert in machine learning, artificial intelligence and computer vision to join our digital pathology group as an Associate Scientist / Scientist in Oncology Biomarker Development (OBD). Digital pathology is a new field with tremendous growth opportunities. You will apply advanced image analysis techniques, including deep learning, to accelerate, automate, and improve the accuracy with which we obtain information from tumor histology images. In collaboration with world-class life scientists, you will integrate image-based data with clinical and molecular data to develop new biomarkers and companion diagnostic tests, which deliver personalized treatments to cancer patients.
For this particular position, we are seeking an innovative, productive, and data-driven Ph.D.-level scientist with at least two years of postdoctoral experience, and a consistent and outstanding record of creativity and performance in digital pathology, computer vision, and machine learning, evidenced by peer reviewed publications in top tier journals or patent applications.
As an Associate Scientist / Scientist, you are expected to:
Adapt and apply computer vision engineering tools and algorithms to enhance digital pathology research
Effectively communicate and collaborate with cross-functional teams of biologists and clinical scientists
Work with pathologists, cancer biologists, bioinformaticians, and statisticians to develop algorithms to advance our digital pathology-based biomarker development
Drive scientific and technical innovation collaboratively with other members of the department
Analyze data supporting innovative clinical development programs
Support publications in high impact scientific, technical or medical journals
Represent the digital pathology team through interactions with our key investigators and public presentations
Participate and thrive in a fast-paced, interactive and team-oriented culture
Who You Are
Demonstrated extensive experience with machine learning and AI, preferably deep learning
Algorithm development with Python and/or MATLAB in the imaging or computer vision field
The candidate must hold a PhD in computer science, biomedical engineering, biomedical imaging, or related area.
Minimum of 2 years postdoctoral or industry experience in an AI-related field
Record of scientific leadership as evidenced by first or senior author peer reviewed publications in top tier journals
Outstanding presentation and communication skills
Experience in clinical drug development or medical devices is beneficial
Experience in the field of digital pathology is a strong plus. Experience with skills such as cell phenotyping using multiplexed imaging data, and common digital pathology software such as Visiopharm or HALO would be a particular asset.
Excellent team working skills and experience working in interdisciplinary environment
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.
The next step is yours. To apply today, click on the "Apply online" button.
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