87 Statistics positions at University of Maryland, Baltimore in united-states in United States
-
for up to three years with a start date starting in Summer of 2024. Qualifications The ideal candidate would possess skills in advanced statistical modeling, working with multi-dimensional datasets
-
(if applicable per job). Essential Functions: Responsible for collecting and analyzing data for statistical studies. This position will apply statistical and mathematical models to quantify and interpret research
-
in advanced statistical modeling, working with multi-dimensional datasets, project management, and expertise in either infectious diseases, spatial modeling, or climate science. We are looking
-
enrollment; and assures accurate demographic information for follow-up. Assist with data analysis and interpretation, and the development of statistical reports of study data using descriptive statistics using
-
development of statistical reports of study data using descriptive statistics using SAS, STATA, and SPSS statistical software. Assists in developing, submitting, and providing content for grants, papers
-
data analysis and interpretation, and the development of statistical reports of study data using descriptive statistics using SAS, STATA, and SPSSS software. Assists in developing, submitting, and
-
. Assist with data analysis and interpretation, and the development of statistical reports of study data using descriptive statistics using SAS, STATA, and SPSS statistical software. Assists in developing
-
assures accurate demographic information for follow-up. Assist with data analysis and interpretation, and the development of statistical reports of study data using descriptive statistics using SAS, STATA
-
assigned. Qualifications Education: Bachelor's degree in business, information technology, computer science, mathematics, statistics, finance, or a related field to data being analyzed. Experience: Five (5
-
, medication outcomes, health disparities, and social determinants of health. The fellow will apply advanced pharmacoepidemiology methodological and statistical methods as well as longitudinal and multi-level