Epidemiologist I
Detroit, Michigan, United States
Job Description
Responsible for assisting in the design and planning of epidemiological studies; developing and testing of data collection instruments; supporting and overseeing database development; identification, recruitment, and follow up of study subjects and study personnel at external sites; utilize and apply knowledge of SAS, R, Python, Data visualization, Data curation/transformation, Spatial epidemiologic analysis, Geocoding and GIS mapping, epidemiological research-based computational modeling and simulation methods, agent-based modeling techniques, Epidemiological analysis methods, Statistical sampling methods, and Healthcare-associated infection surveillance methods to complete necessary tasks; conduct library research, write literature reviews, develop procedure manuals and reports, and compile progress/status reports on varying aspects of each study; and support IRB application submissions and progress reports.
Location: Detroit, Michigan, and multiple undetermined worksites throughout the U.S.
"DNS"
#LI-DNI"
Education: Master's in Public Health, Epidemiology, or in a related field of study (will accept equivalent foreign degree).
Other Requirements: Must have completed one (1) academic semester of coursework and/or research work that included use of all the following: SAS, R, Python, Data visualization, Data curation/transformation, Spatial epidemiologic analysis, Geocoding and GIS mapping, epidemiological research-based computational modeling and simulation methods, agent-based modeling techniques, Epidemiological analysis methods, Statistical sampling methods, and Healthcare-associated infection surveillance methods. Will also accept any suitable combination of education, training and/or experience.
Training: None.
Experience: None.
Location: Detroit, Michigan, and multiple undetermined worksites throughout the U.S.
"DNS"
#LI-DNI"
Education: Master's in Public Health, Epidemiology, or in a related field of study (will accept equivalent foreign degree).
Other Requirements: Must have completed one (1) academic semester of coursework and/or research work that included use of all the following: SAS, R, Python, Data visualization, Data curation/transformation, Spatial epidemiologic analysis, Geocoding and GIS mapping, epidemiological research-based computational modeling and simulation methods, agent-based modeling techniques, Epidemiological analysis methods, Statistical sampling methods, and Healthcare-associated infection surveillance methods. Will also accept any suitable combination of education, training and/or experience.
Training: None.
Experience: None.
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Career Focus: Epidemiology
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