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The Stankovic Laboratory at Stanford University School of Medicine seeks a highly motivated research scholar with expertise in data science, epidemiology, and computational analysis of large-scale
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experience working with large, complex data from varied sources. The candidate should have proficiency with statistical software, ideally Stata, strong written and interpersonal communication skills, and a
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administer large academic programs. Serve as expert advisor to faculty and staff and have a large role in program/entity strategy development, long-range planning, and partnership development. Duties include
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are seeking a highly skilled and experienced Data Scientist to join our team. The successful candidate will be responsible for managing and analyzing large sets of multi-omics data with a focus on human brain
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on human trafficking, including supply chain network analysis and geospatial modeling. The successful candidate will have strong data science skills, including experience working with large, complex data
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those most affected by environmental damage and climate change. For more information on the school, click here . The Stanford Woods Institute for the Environment works to advance global sustainability
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project management skills and ability to lead large multi-functional teams. PHYSICAL REQUIREMENTS*: Constantly sitting. Frequently perform desk-based computer tasks, use telephone, writing by hand, sort
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expertise in Neuropixels or other large-scale in vivo electrophysiology techniques. An expert neural data analyst may be considered even with minimal animal experience. Required Application Materials: Cover
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significantly sized single operation. Will typically be the leader for large or multiple units with more than $750,000 in revenue targets and a combined size of 15 or more FTE. Often manage other leaders in
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projects and data collection. Assists with protocol development for experimental development. Regularly inspects and maintains experimental equipment to maintain large scale electrophysiology recordings