We are seeking an independent and motivated researcher for a Postdoctoral Fellowship in Aviv Regev’s lab to apply develop edge algorithms for analysis of single cell genomics profiles, spatial data, and perturbation screens with high content molecular and imaging data to understand cellular and multi cellular combinatorial programs in cells and tissues in health and disease.

You will join a highly collaborative and interdisciplinary group with diverse areas and commitment to tackle challenging problems in biology and medicine and will work on independent research projects, which leveraging collaborations within the group and across Research & Development.

Who You Are:

PhD in Computational Biology, Computer Science, Applied Mathematics, or similar field

Demonstrated record of innovative scientific accomplishments as evidenced by at least one first-author or co-first author key paper in a top journal or a key conference (eg in computer science)

Technically rigorous, bold and creative

Excited about biology and human disease, and developing and applying new computational algorithms to decipher it

Enjoy working closely and collaboratively to solve complex biological problems

Able to lucidly present complex results, both verbally and in writing, to experts from different fields: computer scientists, computational biologists, biologists, and clinical audiences

For more information about the postdoctoral program at Genentech can be found at: http://www.gene.com/careers/academic-programs/postdocs.

The expected salary range for this position based on the primary location of California is $92,500 to $98,500. Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law.  This position also qualifies for the benefits detailed at the link provided below.

Benefits

Relocation benefits are available for this job posting.

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Genentech is an equal opportunity employer, and we embrace the increasingly diverse world around us. Genentech prohibits unlawful discrimination based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin or ancestry, age, disability, marital status and veteran status.