Postdoctoral Scholar/Pediatrics - Health Informatics/Data Science-CBMI, Memphis - 21000002FM
Postdoctoral Scholar - Pediatrics-Health Informatics/Data Science - CBMI The successful candidate will work with Dr. Arash Shaban-Nejad and a multi-disciplinary team of experts on utilizing Knowledge Representation, Machine Learning, NLP, Data Science, and Network Theory to develop novel algorithms, tools, and methods for data integration, interoperability, reasoning, and mining large-scale multidimensional data and develop predictive models to make valuable causal and probabilistic inferences about population health. The incumbent will also work on implementing and administrating a multi-phase study to improve HPV vaccination uptake among adolescents.
Description
Qualifications Ph.D. in a relevant discipline (e.g. Medical Informatics, Computer Science, Data Science, Computational Social Science, Network Science, Epidemiology, Biostatistics, etc.) Departmental Preferences Strong research track record, programming, and implementation skills, along with excellent communication, organizational, and project management skills. Experience in both qualitative and quantitative research and studying and implementing public health interventions (e.g. vaccine) are highly desirable.
Qualifications
Job
Research Professional
Primary Location
US-Tennessee-Memphis
Organization
Pediatrics-Cbmi
Schedule
Full-time
Campus/Institute Memphis
Job Posting
Dec 1, 2021, 4:36:48 PM
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