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STATISTICAL PROGRAMMER,MED School of Medicine, Clin Epi Rsch & Training
Boston University
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The candidate needs to have a Master's degree or higher in epidemiology, statistics, or quantitative sciences with 1-3 years of experience. Advanced R and SAS programming skills, familiarity with R Base and R packages, SAS Base and Macros, strong written and oral English language, and the ability to work independently and as a part of a team to meet deadlines in a fast-paced multi-project environment are required. Expertise in linear, non-linear, survival analysis, and modeling of correlated data including mixed-effects modeling are desired. Familiarity with causal inference methods and epidemiology concepts such as confounding and collider bias are preferred. Other competencies include experience in working with large insurance claims databases. Applicants must be legally authorized to work in the United States

We are proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law.

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About Boston University
Boston University is no small operation. With over 33,000 undergraduate and graduate students from more than 140 countries, 10,000 faculty and staff, 16 schools and colleges, and 250 fields of study, our two campuses are always humming.
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