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responsibilities include: Lead and own organization-wide data analytic initiatives (e.g., models, frameworks, platforms, dashboards). Hire, supervise, coach, and mentor a high-performing team of postdocs, students
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Key Responsibilities: • Adapt internal computational pipelines to analyze high-dimensional patient datasets, including single-cell sequencing, spatial transcriptomics, clinical, and other relevant
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to competing priorities Advanced customer service skills, demonstrated in the ability to work with students, parents, faculty, and other campus stakeholders in high pressure and complex situations Ability
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cell-based immunotherapies. The successful candidate will independently perform portion of the research, help develop new protocols for high dimensional single cell level Immune monitoring and Genomics
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*: Constantly perform desk-based computer tasks. Frequently sitting. Occasionally stand/walk, reach/work above shoulders, grasp lightly/fine manipulation, grasp forcefully, use a telephone, sort/file paperwork
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Scientist [Academic Program Professional 2] to launch the Stanford Institute for Excellence in Survey Research (SIESR) focused on providing survey research guidance to the Stanford community and analyzing
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standards and/or regulatory requirements. Subject matter expertise for area(s) of responsibility. Ability to multi-task and manage deadlines. PHYSICAL REQUIREMENTS*: Constantly perform desk-based computer
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to fulfill. The major criterion for appointment for faculty in the Non-tenure Line (Research) is evidence of high-level performance as a researcher for whose special knowledge a programmatic need exists. The
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. PHYSICAL REQUIREMENTS*: Frequently stand, walk, twist, bend, stoop, squat and use fine light/fine grasping. Occasionally sit, reach above shoulders, perform desk based computer tasks, use a telephone and
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and tests, score test measurements and questionnaires, and code data for computer entry. Perform quantitative review of forms, tests, and other measurements for completeness and accuracy. Extract data