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Levine Science Research Center. Be Bold. Perform routine wet lab analysis tasks including storing and labelling samples, processing samples, and performing instrument analysis. Understand and comply with
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related fields.MD/PhD with molecular biology research experience. Experience/Training: Must have experience with analyzing omics data. Familiarity or direct experience with analysis of 10x Genomics data
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responsible for data acquisition and development, data analysis and storytelling, planning and organization, communication and problem solving, and stakeholder engagement and support. The role involves regular
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. Participates in or leads day-to-day clinical research data operations conducted by Principal Investigator(s) within the Leukemia Clinical Research Team (CRT) as part of the Hematologic Malignancies and Cellular
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leveraging technology to drive financial insights. The ideal candidate will possess a deep understanding of financial principles combined with advanced proficiency in data analysis, modeling, and technology
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arising with sponsors or external partners, ensuring sustained high-level stakeholder relationships. 10% — Program Evaluation, Data Analysis & Financial Oversight Monitor and evaluate overall program
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verified applications and institutional letter packets. Maintain and coordinate team Calendly accounts for both prehealth and pre-law advisors to facilitate student scheduling and data analysis. Trouble
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informed decision-making through project management, business process improvement, workforce and resource planning, operational analysis, and executive support. What You'll Do Lead complex projects and
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reporting, and daily operations while also supporting high‑visibility events such as Climate Weeks and the Duke Climate Summit. This is an ideal role for someone who enjoys working with data, coordinating
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to understand how the production process changes impact product quality. Compile data and perform analysis and interpretation and draw conclusions regarding progress and results of work, utilizing the data in