Biostatistics School of Public Health

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Employment

Professor and Chair

  • Location: Seattle, Washington
  • Open Date: August 15, 2024

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Please use select from the "Opportunity Type" dropdown to display current job postings.  Positions for graduate students are included under RA and TA.  See About Student Jobs at right for more information about the appointment process, compensation, and other details.  Other new opportunities will be posted as they become available.

 
Job Nbr 0211: TA, 50% or 25%, BIOST 515, Winter 2027, (Witten)
Course Description: BIOST 515: Biostatistics II (4) - Introduction to linear models; multiple regression, correlation; residual analysis; dummy variables; analysis of covariance; one-, two-way analysis of variance; randomized blocks; fixed, rand
Supervisor: Daniela Witten% FTE: 50% or 25% FTELocation: University of WashingtonClosing Date:
Job Nbr 0093: TA, 50% or 25%, BIOST 310, Winter 2027, (Wilson)
Course Description: BIOST 310: Biostatistics for the Health Sciences (4) - Introduction to statistics for students who plan to major in health sciences.
Supervisor: Katie Wilson% FTE: 50% or 25% FTELocation: University of WashingtonClosing Date:
Job Nbr 0037: TA, 25%, BIOST 570, Winter 2027, (Lila)
Course Description: BIOST 570: Advanced Regression Methods for Independent Data (4) - Covers linear models, generalized linear and non-linear regression, and models.
Supervisor: Eardi Lila% FTE: 25%Location: University of WashingtonClosing Date:
Job Nbr 0212: TA, 50% or 25%, BIOST 557, Winter 2027, (Willis)
Course Description: BIOST 557: Applied Statistics and Experimental Design (5) - Inferential statistical methods for discrete and continuous random variables including tests for difference in means and proportions; linear and logistic regres
Supervisor: Amy Willis% FTE: 50% or 25% FTELocation: University of WashingtonClosing Date:
Job Nbr 0043: TA, 50% or 25%, BIOST 512, Winter 2027, (Inoue)
Course Description: BIOST 512 Medical Biometry II (4) - Multiple regression, analysis of covariance, and an introduction to one-way and two-way analyses of variance: including assumptions, transformations, outlier detection, dummy variables, and
Supervisor: Lurdes Inoue% FTE: 50% or 25% FTELocation: University of WashingtonClosing Date: