482 evolution "https:" "https:" "https:" "https:" "https:" "https:" "Washington University in St" positions at Nature Careers in United States
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with divisional and departmental operational leadership, assay development teams, quality and informatics partners, and laboratory staff to support the integration of new technologies and evolving
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organizational standards, ensures regulatory compliance, and champions ongoing professional development and quality improvement within the referral and intake process. This role is essential to ensuring that every
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, with 80% effort devoted to clinical service and administrative efforts, and the remaining 20% effort will be focused on translational research and career development opportunities. Ideal candidates will
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knowledge of the principles of growth and development for all ages served. Strong ability to assess and interpret age specific data about the patient's status. Strong clinical nursing, interpersonal, and
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administrative experience, including faculty development and program building Show a strong commitment to mentoring, faculty advancement, and trainee success Have the vision and experience to build
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acquisition and preliminary analysis. The position is service-oriented, collaborative, and offers opportunities to participate in technology development projects, evaluate new methods, and contribute
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to train scientists to address critical unmet needs in childhood hematological malignancies. St. Jude offers highly competitive stipends and benefits and fosters professional development. Eligibility
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that encourages broad thinking and problem-solving. A competitive compensation package with comprehensive health and welfare benefits. Professional development opportunities through internal and external
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compliance with relevant laws, regulations, and institutional policies (e.g., Bayh-Dole Act, export control, GDPR, etc.). Collaborate with inventors, researchers, business development, and external partners
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, computation, and data science. The Gorgulla lab has pioneered the development of next generation methods for computational biology and ligand/drug discovery based on ultra-large virtual screenings, artificial