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-initiated clinical trials for glioblastoma and other primary brain tumors while developing your own mentored research portfolio. You will work alongside leading clinicians, scientists, surgeons, pathologists
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approaches, we aim to identify new treatment strategies that improve outcomes for patients with cancer. You will have the opportunity to contribute to impactful discoveries while developing your scientific
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. The successful applicant will possess a PhD or equivalent doctoral degree in the social sciences, including political science, public policy, political ecology, law, geography or another relevant field with some
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neurologists, neurosurgeons, sleep medicine specialists, engineers, and data scientists, you will have the opportunity to contribute to groundbreaking discoveries while expanding your scientific expertise in a
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the opportunity to work with leading investigators, contribute to impactful cancer research, and advance innovative statistical methodologies while building a strong publication record. Job Code
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, environmental health, or a related field. Skills & Experience: • Experience with exposure assessments, particularly for semi-volatile organic compounds • Experience with operating laboratory analytical
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, Pharmacology, or a related biomedical science field. Candidates who have completed all degree requirements but whose degree has not yet been formally conferred may be considered with documentation of completion
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of environmental hazard. Minimum Requirements: .A doctoral degree in analytical chemistry, environmental health, environmental chemistry, or related field Preferred Qualifications: At least one year of experience
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, biostatistics, economics, data science, informatics, implementation science, public policy, or a related field Experience/Skills • Experience working with large administrative, clinical, or programmatic datasets
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ability to work effectively with other team members both in the lab at Duke and with partners from international great ape field sites in Tanzania, Uganda, and Rwanda. Prior experience with large datasets