We are currently searching for Mathematical Statistician to support the overall operational objectives of the National Heart, Lung, and Blood Institute (NHLBI) through the provision of support services. This is a full-time, on-site opportunity in Bethesda, MD. Collaborate with investigators on the design, conduct, interpretation, and/or analysis of direct-data projects to answer questions regarding heart, lung, and blood diseases and major risk factors to account for previously unexplained phenomena and/or open significant new avenues for further study. Prepare data and/or results for presentation and/or publication in collaboration with investigator(s). Validate or modify scientific theories or methodologies relating to topic areas to result in improved understanding of techniques or medical practice. Apply conventional, established approaches, methods, techniques, and solutions to new situations or develop new analytical techniques. Develop new hypotheses and approaches for studies using state-of-the-art methods as appropriate. Provide expert statistical consultation to and collaborate with scientists within the NHLBI and associated research groups. Select and implement appropriate methods of study design, data collection, summary, and analysis in the biological and medical sciences. Apply a variety of statistical techniques such as analysis of variance, probability, regression analysis, contingency tables, survival analysis, tests of significance, confidence intervals, and sample size requirements for clinical data. Work with investigators to turn general research objectives into well-defined scientific and testable statistical hypotheses. Determine whether the available data or the data to be collected will allow the hypotheses to be tested. Evaluate methodologies used and ensure results are valid and reliable. Resolve technical problems in collection of biomedical information data. Assist in the development and implementation of quality control and other study-monitoring procedures. Contribute to the initiation of research projects in the application or modifications of mathematical statistics required for data analysis or for statistical investigations. Participate in regularly scheduled branch meetings; discuss data and/or results. Contribute to the writing and editing of scientific papers. Keep abreast of statistical developments through review of literature, attending professional meetings, conferences, and symposia. Other duties as assigned.
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Job Type
Full-time
Career Level
Mid Level
Education Level
Ph.D. or professional degree
Number of Employees
5,001-10,000 employees