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detailed and accurate records. Ensure compliance with environmental, safety, health and quality program requirements. Maintain strong dedication to the implementation and perpetuation of values and ethics
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Number: JR89397 Position Summary The Cruchaga Lab at WashU Medicine is recruiting multiple Postdoctoral Research Associates. The NeuroGenomics and Informatics Center generates and analyzes Whole-Genome
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, computer science, quantitative biology, or related field by the time of the appointment. Skills: - Experience with the analysis of shotgun metagenomics and taxonomic data in the context of human biology. - Strong
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immunologic skin diseases. Candidates are welcome from various interrelated backgrounds, such as epidemiology, computer science, public health, health services research/health policy, and/or biostatistics
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The hiring range for this position is expected to be $78,000 – 83,000 per year A variety of health insurance plans (Medical, Vision, Dental) Generous Retirement Plan – 10.12% annual compensation contribution
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characteristics, pregnancy, race, religion, reproductive health decision making, sex, sexual orientation, unemployment status, veteran status, or any other legally protected basis. All interested persons
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, Security, and Space. Perks Await You at Embry-Riddle! Health Benefits: Experience comprehensive medical, dental, and vision coverage, along with wellness programs that include preventive care and fitness
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benefits package including medical, dental, tuition remission and more. UHealth-University of Miami Health System, South Florida's only university-based health system, provides leading-edge patient care
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 month ago
Summary This position will work with UNC faculty on research related to market access and health informatics while also working with staff at AESARA. Minimum Education and Experience Requirements PharmD
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, Biomedical/Health Informatics or Computer Science. Strong quantitative background in pharmacoepidemiologic methods, bioinformatics, causal inference modeling, AI/ML methods. Prior experience with analyzing