We seek a highly motivated 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. Note that most of the team is based in South San Francisco, California, United States. You may be expected to attend meetings until 11am Pacific Standard Time during the work week. Periodic travel to South San Francisco may be required.
Please apply in English.
As 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 in the digital pathology field.
Outstanding presentation and communication skills in English 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 3 years postdoctoral experience and / or industry experience in the digital pathology field.
Demonstrated experience with deep learning and algorithm development with Python and/or MATLAB in the imaging or computer vision field is required.
Experience in clinical drug development, bioinformatics, biostatistics or medical devices is beneficial
Excellent team working skills and experience working in an interdisciplinary environment.