Research - Laboratory/Non-Laboratory, Staff/Administrative
Location: Hyde Park Campus
Provides statistical guidance in designing studies to answer scientific questions, including basic science experiments, clinical trials and population-based studies.
Advises clinical investigators in collecting, managing and analyzing their data.
Performs a range of activities to facilitate the design of research projects and the publication of their results. Uses knowledge of statistics to help develop objectives and statistical procedures for the project.
Analyzes data and prepares data tables, charts, and graphs for reports. Writes grant proposals for faculty throughout the unit.
Helps develop and implements new innovative procedures in the areas of data collection, quality control, presentation of results, and statistical analysis.
Writes statistical computer programs and reviews computer output for consistency and quality.
Performs other related work as needed.
Masterâ™s degree in Statistics, Biostatistics, Data Science, or Data Analytics.
At least one course each in mathematical statistics or econometrics (e.g., point estimation, confidence intervals, hypothesis testing, large sample theory, asymptotic efficiency, exponential families, decision theory, etc.), linear models, and longitudinal (or panel) data analysis. Course(s) in at least two of the following areas: generalized linear models, categorical data analysis, survey sampling, survival analysis, epidemiological methods, mixed, hierarchical or latent variable models, or multivariate analysis.
Courses in computer science, especially those focusing on programming essentials, data structures and/or databases, statistical computing and machine learning.
At least two years of recent experience in the analysis of quantitative research data within an academic environment.
Experimental design including basic science experiments, clinical trials and/or population-based studies, addressing issues such as sampling or recruitment, allocation to treatment(s), randomization strategies, and development of an analytic plan.
Experience performing sample size and power calculations using both analytical methods and simulations.
Experience manipulating and analyzing data from electronic medical records or health care claims.
Strong skills in either Stata, R or SAS; ability and willingness to learn new analytic software.
Strong communication skills.
Excellent writing skills, including writing papers for publication, grant proposals and technical documentation.
Good programming skills (especially in Python), as well as a working knowledge of git.
Cover letter (preferred)
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Internal Number: JR10863
About University of Chicago (UC)
One of the world's premier academic and research institutions, the University of Chicago has driven new ways of thinking since our 1890 founding. Today, UChicago is an intellectual destination that draws inspired scholars to our Hyde Park and international campuses, keeping UChicago at the nexus of ideas that challenge and change the world.