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Associate Scientist/Scientist Digital Pathology

South San Francisco, California

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The Position

We seek a highly motivated Associate Scientist / Scientist within the Oncology Biomarker Development (OBD) Data Science Digital Pathology Group, to drive digital pathology biomarker development and diagnostic development using image analysis and machine learning. In this role, you will collaborate with pathologists, cancer biologists, bioinformaticians, statisticians and AI engineers. Your work will help target our therapies to the patients who are most likely to benefit, and understand tumor biology to build the cancer-curing medicines of tomorrow. 

As an Associate Scientist / Scientist, you are expected to:

  • Design and implement digital pathology strategies for individual biomarker development programs 

  • Collaborate with interdisciplinary teams to select, optimize and apply algorithms to advance our digital pathology-based biomarker development activities

  • Drive scientific and technical innovations collaboratively with other members of the department

  • Support publications in high impact scientific, technical or medical journals

  • Analyze data supporting innovative clinical development programs

  • 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 

  • Record of scientific leadership as evidenced by first or senior author peer reviewed publications in top tier journals and patents

  • Outstanding presentation and communication skills are a must.

  • The candidate must hold a PhD in the biomedical or engineering field, and / or a MD / DVM or equivalent degrees in pathology. It is imperative that candidates demonstrate both an understanding of cancer biology as well as computational imaging methods.  

  • Minimum of 2 years postdoctoral experience in basic or translational research either in an academic or industry setting

  • Experience with digital pathology is strongly preferred.  Experience with H&E and IHC image analysis, cell phenotyping using multiplexed imaging data, and common digital pathology software such as Visiopharm or HALO would be assets.

  • Familiarity with machine learning and algorithm development with Python and/or MATLAB in the imaging or computer vision field would be valuable.

  • Experience in clinical drug development, bioinformatics, biostatistics or medical devices is beneficial

  • Excellent team working skills and experience working in an interdisciplinary environment.






Who We Are

Genentech, a member of the Roche group and founder of the biotechnology industry, is dedicated to pursuing groundbreaking science to discover and develop medicines for people with serious and life-threatening diseases. To solve the world's most complex health challenges, we ask bigger questions that challenge our industry and the boundaries of science to transform society. Our transformational discoveries include the first targeted antibody for cancer and the first medicine for primary progressive multiple sclerosis.

Diversity and Inclusion (D&I) are critical to the success of our company and our impact on society. We believe that by championing diversity of background, thought and experience, we can foster a sense of belonging and provide an environment where every employee feels valued, included, and able to contribute their best for the patients we serve. We’re focused on attracting, retaining, developing and advancing our people to their full potential by rewarding bold ways of thinking and integrating inclusive behaviors into every aspect of our work.

The next step is yours. To apply today, click on the "Apply for this job" button.

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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