Principal Statistical Scientist
CurrentEarly Development Oncology Biostatistics and Personalized Healthcare (PHC)
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@gene.com
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Patrick Kimes, Phd is listed as Principal Statistical Scientist at Genentech at Genentech, based in San Francisco Bay Area, United States, United States. AeroLeads shows a work email signal at gene.com and a matched LinkedIn profile for Patrick Kimes, Phd.
Patrick Kimes, Phd previously worked as Principal Statistical Scientist at Genentech and Senior Statistical Scientist at Genentech. Patrick Kimes, Phd holds Phd, Statistics from University Of North Carolina At Chapel Hill.
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AeroLeads found 1 current-domain work email signal for Patrick Kimes, Phd. Compare company email patterns before reaching out.
Patrick Kimes, Phd is a Principal Statistical Scientist at Genentech at Genentech. He possess expertise in r, data analysis, statistics, bioinformatics, data mining and 7 more skills. He is proficient in Japanese.
Listed skills include R, Data Analysis, Statistics, Bioinformatics, and 8 others.
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South San Francisco, California, US
Early Development Oncology Biostatistics and Personalized Healthcare (PHC)
Switzerland 🇨đź‡, CH
Chapel Hill, North Carolina, US
Raritan, New Jersey, US
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Patrick Kimes, Phd works for Genentech.
Patrick Kimes, Phd is listed as Principal Statistical Scientist at Genentech at Genentech.
AeroLeads has found 1 work email signal at @gene.com for Patrick Kimes, Phd at Genentech.
Patrick Kimes, Phd is based in San Francisco Bay Area, United States, United States while working with Genentech.
Patrick Kimes, Phd has worked for Genentech, Dana-Farber Cancer Institute, Harvard T.H. Chan School Of Public Health, Roche Molecular Systems, and Lineberger Comprehensive Cancer Center.
You can use AeroLeads to view verified contact signals for Patrick Kimes, Phd at Genentech, including work email, phone, and LinkedIn data when available.
Patrick Kimes, Phd holds Phd, Statistics from University Of North Carolina At Chapel Hill.
Patrick Kimes, Phd is listed with skills including R, Data Analysis, Statistics, Bioinformatics, Data Mining, Latex, Machine Learning, and Public Speaking.
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