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% reporting 5% administrative 5% training of trainees Minimum Qualifications Education PhD or master's degree in pharmaceutical sciences/pharmacology; other applicable degrees (statistics, engineering
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statistics. Assist in state accelerator and radioactive materials inspections Provide support to clinical and academic missions Provide guidance to graduate students and medical physics and physician residents
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including protein conjugation strategies. Familiarity with JMP or similar statistical software. Single-use technologies, lead and support downstream unit operation development activities. Working knowledge
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demonstrable computational skills or a M.S. in computer science with a strong interest in biology/genomics. PhD preferred. Experience Strong expertise with programming required. Minimum Qualifications Education
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departments with 130 tenure-track faculty members, 1250 undergraduate students, 1400 master’s students, and 600 PhD students. Housed within a university renowned for its programs in the liberal arts, medicine
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, including computational and/or statistical analysis. Developing and troubleshooting new techniques and processing samples for appropriate downstream data analysis. Maintaining organized and up-to-date records
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controls for medical radiation hazards. Maintain required electronic medical records, reports and files; collect necessary statistics. Assist in State accelerator and radioactive materials inspections
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, statistics, sociology, criminal justice, public policy, or another relevant field. Experience At least three years of experience in research/data analysis or related position, post-graduation from a PhD
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requires two years of experience in NGS laboratory. OR AN EQUIVALENT COMBINATION OF RELEVANT EDUCATION AND/OR EXPERIENCE. M.S. or PhD preferred. Preferred Qualifications Advanced degree in genetics, genomics
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environmental and exposure sciences, biomedical sciences and pre-med tracks, public health, chemistry, biology, neuropsychology, computer science, and statistics. Meet the Duke University Superfund Research