Minimum Qualifications: Research Scientist * A MS in Biostatistics, Statistics, Data Science, or related area of graduate level training at the start date of the position. * Experience as an analytic consultant or collaborator in graduate school or post-graduate work. Senior Research Scientist * A MS in Biostatistics, Statistics, Data Science, or related area of graduate level training at the start date of the position. * Experience as an analytic consultant or collaborator in graduate school or post-graduate work. * At least 5 years of post-graduate experience as an analytic consultant or collaborator. * Evidence of independence or leadership on research teams. Applicants must meet minimum qualifications at the time of hire. Preferred Qualifications: Research Scientist * 1+ year of experience with data management and integration of data sources. * 1+ year of experience serving as a biostatistician or data analyst on multiple projects. * Demonstrated ability of successfully contributing to the analytic elements of multiple projects simultaneously. * Proficiency in several statistical programming software languages. * Demonstrated ability to work in a high-performance computing environment. * Or equivalent combination of education, training, and experience that provides the individual with the required knowledge, skills and abilities. Senior Research Scientist * 5+ years of experience with data management and integration of data sources. * 5+ years of experience serving as a biostatistician or data analyst on multiple projects. * Demonstrated ability to compare analytic approaches using simulation or a similar alternative to suggest best-practices for new situations. * Demonstrated ability to advise on study design and write data analysis sections in grant application or protocols. * Evidence of continued coding or analytic skill development. * Demonstrated ability to supervise junior biostatisticians and graduate students. Knowledge, Skills and Abilities: * Strong knowledge of statistical principles relevant in medical research. * Ability to analyze and solve complex problems and apply quantitative analytical approaches. * Ability to investigate the properties of statistical methodology through simulation or other means. * Strong programming skills in a common statistical software package (such as SAS, R). * An ability to work with high performance computing environments and cloud computing. * Good organizational skills across multiple projects, managing own workload, self-directed. * Positive attitude and the ability to work with a variety of biomedical investigators and colleagues. * Ability to contribute to the growth and development of the CIDA and the Department. * Strong written and oral communication skills, including the ability to be responsive and exercise humility while communicating appropriately and effectively with a variety of audiences |