Postdoctoral Scholar/Pediatrics - Health Informatics/Data Science-CBMI, Memphis

Description

 

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.

Qualifications

 

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.

Job
  Research Professional 
Primary Location
  US-Tennessee-Memphis 
Organization
  Pediatrics-Cbmi 
Campus/Institute - Memphis 
Schedule
 - Full-time 
Job Posting
  Dec 1, 2021, 4:36:48 PM