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staff/statistical programmers/analysts regarding the development and use of statistical programs to analyze data. Minimum Education and Experience: A PhD in public health, biostatistics, epidemiology
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primary care research. The position requires knowledge of pragmatic biostatistics and high-level skills in statistical programming and analysis, as well as expertise in research methodology. He/she will
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projects. Develops research plans and budgets, designs and implements statistical, machine-learning, and bioinformatic methodologies, and manages project workflows while ensuring all sponsor requirements and
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Experience Minimum of PhDs degree in life sciences or related field (such as neuroscience or cell biology). Prior experience with molecular biology techniques, such as qPCR and RNA preparation, is required
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Qualifications Minimum Education and Experience A PhD or PsyD in clinical psychology or closely related field Experience working with individuals with suicidality. Completed APA-Accredited internship Basic
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specific to mu opioid receptor mechanisms. As assigned, carries out various technical and research operations relating to electrophysiology, patch clamp techniques. Compiles and presents statistical data
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experiments specific to chronic itch mechanisms. As assigned, carries out various technical and research operations relating to electrophysiology, patch clamp techniques. Compiles and presents statistical data
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, system issues, and data entry and collection errors. Prepare datasets and provide supporting documentation for statistical analysis and simulation modeling. Develop appropriate simulation and statistical
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and statistical techniques. Prepare and present research findings to internal and external stakeholders. Collaborate with cross-functional teams including physicians, statisticians, and regulatory
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statistical and machine learning techniques to analyze datasets related to aging, Alzheimer’s disease or related dementias. The successful candidate will work as part of a multi-disciplinary team including