Tbwa Chiat/Day Inc
Scientist - Cell Engineering for Cell-state Profiling (Leonetti Group)
Tbwa Chiat/Day Inc, Palo Alto, California, United States, 94306
Scientist - Cell Engineering for Cell-state Profiling (Leonetti Group)
The
Chan Zuckerberg Biohub San Francisco
( CZ Biohub SF ) is an independent nonprofit research institute that brings together three powerhouse universities - Stanford, UC Berkeley, and UC San Francisco - into a single collaborative technology and discovery engine. We are guided by our values of scholarly excellence; disruptive innovation; hands-on engineering/hacking/building; partnership and collaboration; open communication and respect; inclusiveness; and opportunity for all.The OpportunityCome join an interdisciplinary team of biologists, data scientists, and engineers! We are seeking a
Scientist - Cell Engineering for Cell-state Profiling
to spearhead our next efforts to engineer libraries of cells expressing functional reporters, and to analyze imaging data to extract quantitative insights about cellular responses.What You'll DoDesign and validate live-cell fluorescence reporters of functional responsesLead high-throughput cell engineering pipelines in both transformed and stem-cell derived cell types.Conduct image-based CRISPR screensPartner with microscopy experts to quantify cellular responses and identify new cellular mechanismsPartner with cell biologists and data scientists to build models of cellular stateExplain technical concepts to a multi-disciplinary team of biologists, bioengineers, and data scientists at the BiohubAuthor publications & mentor junior colleaguesWhat You'll BringPhD in Molecular Biology, Cell Biology, Biophysics, or a related disciplineAt least 5 years of expertise in tissue culture and cell engineering, including CRISPRAt least 2 years of experience in cell biology assays involving high-dimensional examination (ex: genetic screens, scRNASeq…)At least 2 years of experience in live-cell fluorescence microscopyAt least 2 years of experience in quantitative data analysis (Python, R, etc…)A deep knowledge of cellular signaling and stress pathwaysA passion for research and understanding how cells workAn enthusiasm for team science and open scienceExcellent written and oral communication skillsNice to have -Experience with primary cells or stem cells-based systemsExperience in machine learning and computer visionExperience with network analysisCompensationScientist I = $100,000 - $137,500Scientist II = $112,000 - $154,000What We ProvideResources to disrupt and innovate at the frontiers of our knowledge of biology and diseaseA collegial and collaborative environment consisting of diverse expertiseAccess to collaborators, resources, and facilities at our three partner universities (Stanford, UC Berkeley, and UC San Francisco) and at partner organizations in the Bay Area and beyondCompetitive compensation and benefits commensurate with experienceThe CZ Biohub Network is an equal opportunity employer committed to diversity of thought, ideas, and perspectives. We are committed to cultivating an inclusive organization where all Biohubbers feel inspired and know their work makes an important contribution.Apply for this job
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The
Chan Zuckerberg Biohub San Francisco
( CZ Biohub SF ) is an independent nonprofit research institute that brings together three powerhouse universities - Stanford, UC Berkeley, and UC San Francisco - into a single collaborative technology and discovery engine. We are guided by our values of scholarly excellence; disruptive innovation; hands-on engineering/hacking/building; partnership and collaboration; open communication and respect; inclusiveness; and opportunity for all.The OpportunityCome join an interdisciplinary team of biologists, data scientists, and engineers! We are seeking a
Scientist - Cell Engineering for Cell-state Profiling
to spearhead our next efforts to engineer libraries of cells expressing functional reporters, and to analyze imaging data to extract quantitative insights about cellular responses.What You'll DoDesign and validate live-cell fluorescence reporters of functional responsesLead high-throughput cell engineering pipelines in both transformed and stem-cell derived cell types.Conduct image-based CRISPR screensPartner with microscopy experts to quantify cellular responses and identify new cellular mechanismsPartner with cell biologists and data scientists to build models of cellular stateExplain technical concepts to a multi-disciplinary team of biologists, bioengineers, and data scientists at the BiohubAuthor publications & mentor junior colleaguesWhat You'll BringPhD in Molecular Biology, Cell Biology, Biophysics, or a related disciplineAt least 5 years of expertise in tissue culture and cell engineering, including CRISPRAt least 2 years of experience in cell biology assays involving high-dimensional examination (ex: genetic screens, scRNASeq…)At least 2 years of experience in live-cell fluorescence microscopyAt least 2 years of experience in quantitative data analysis (Python, R, etc…)A deep knowledge of cellular signaling and stress pathwaysA passion for research and understanding how cells workAn enthusiasm for team science and open scienceExcellent written and oral communication skillsNice to have -Experience with primary cells or stem cells-based systemsExperience in machine learning and computer visionExperience with network analysisCompensationScientist I = $100,000 - $137,500Scientist II = $112,000 - $154,000What We ProvideResources to disrupt and innovate at the frontiers of our knowledge of biology and diseaseA collegial and collaborative environment consisting of diverse expertiseAccess to collaborators, resources, and facilities at our three partner universities (Stanford, UC Berkeley, and UC San Francisco) and at partner organizations in the Bay Area and beyondCompetitive compensation and benefits commensurate with experienceThe CZ Biohub Network is an equal opportunity employer committed to diversity of thought, ideas, and perspectives. We are committed to cultivating an inclusive organization where all Biohubbers feel inspired and know their work makes an important contribution.Apply for this job
indicates a required fieldFirst Name *Last Name *Email *Phone *Resume/CV *LinkedIn ProfileWebsite
#J-18808-Ljbffr