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biology (DNA/RNA isolation, PCRs, gene expression, immunostaining, protein blotting, cell culture, developing disease models in mice, etc.). Technical Skills or Knowledge: Basic computer proficiency
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, statistical applications, programming, analysis and modeling. The Ovarian Cancer Research Lab at the University of Chicago is seeking a full-time, on-site Clinical Data Scientist/Analyst to support multiple
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techniques across multiple fields, including molecular and cellular biology such as DNA/RNA isolation, PCRs, gene expression, immunostaining, protein blotting, cell culture, and developing disease models in
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preferred. Experience: Basic computer software programming experience required. Exposure to programming languages such as Python, HTML, CSS, JavaScript required. Exposure to ML models preferred. Relevant
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the development of a comprehensive data analytics strategy for PSD’s financial and administrative data that integrates multiple domains and builds out the capacity to do modeling and reporting that supports PSD
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programs to enhance insight and efficiency. Leads change management efforts to embed these capabilities into core operations. Contributes to the development of annual goals, work plans, and maturity models
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basic understanding of actuarial modeling. General understanding of contract and corporate law, loss prevention and claims management philosophies. Preferred Competencies Attentive to details. Understand
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an award recommendation. Establishes strategic relationships with the supply base; conducts research on market dynamics, cost drivers, supplier business models, and historical spend to drive cost savings
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study, teaching model lessons and teacher study groups. Implementating Everyday Mathematics. Being a school partner, developing elementary curriculum materials,coaching teachers , and/or providing teacher
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study, teaching model lessons and teacher study groups. Implementing Everyday Mathematics. Leading a team. Technical Knowledge or Skills: Advanced knowledge of instructional methodologies. Advanced