2,609 data-"https:" "https:" "https:" "https:" "https:" "https:" "SciLifeLab" "IFM" "IFM" uni jobs at Duke University in United States
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: https://hr.duke.edu/benefits/ Duke is an Equal Opportunity Employer committed to providing employment opportunity without regard to an individual's age, color, disability, gender, gender expression
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programs, generous retirement benefits, and a wide array of family-friendly and cultural programs to eligible team members. Learn more at: https://hr.duke.edu/benefits/ Equal Opportunity Employer: Duke is an
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healthcare and financial data into meaningful insights that inform the design, strategy, and performance of Duke’s employee benefits programs. You’ll play a critical part in ensuring data accuracy, analyzing
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, disability, gender, gender expression, gender identity, genetic information, national origin, race, religion, (including pregnancy and pregnancy related conditions), sexual orientation, or military status
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Opportunity Employer committed to providing employment opportunity without regard to an individual's age, color, disability, gender, gender expression, gender identity, genetic information, national origin
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of relevant education and experience. Applicants should submit their materials electronically at https://academicjobsonline.org/ajo/jobs/31754 The deadline for applications is March 11, 2026. Duke is an Equal
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includes syllabi, sample teaching materials, and student evaluations 4. Names and contact information for three referees (The search committee will request recommendation letters during a later stage of the
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to Kenneth Dodge before April 9, 2026, at dodge@duke.edu. Salary is commensurate with experience. Work Arrangement – Hybrid DEPARTMENTAL PREFERENCES Advanced data analysis skills, including management of large
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by gathering information on grievances, investigations, collective bargaining, and policy research. Draft and prepare reports, proposals, memos, and email communications. Take and transcribe dictation
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. Perform experiments using human cell culture and approaches in molecular genetics, biochemistry, genomics, epigenetics, and computational biology. Collect, document, organize, and analyze experimental data