Postdoctoral Associate in Biomedical Informatics Columbia University New York, Department of Biomedical Informatics United States

 

Summary Description

Columbia University’s Department of Biomedical Informatics is seeking a qualified candidate with interest in translational (research-to-practice) and implementation research with an emphasis on technology-based interventions. The qualified candidate will participate in IRB-approved research studies to promote informed/shared decision-making on risk-stratified breast cancer prevention, integration of clinical decision support and patient decision aids, understanding technology adoption, work processes and practices, and innovative approaches to complex informatics implementation problems. Our NIH funded research is conducted by an interdisciplinary research team and builds on the strength of the resource-rich environment at Columbia University and the Columbia University Medicine Center (CUMC). The qualified candidate will be co-mentored by Dr. Rita Kukafka (Professor of Biomedical Informatics and Sociomedical Sciences) and Dr. Kathy Crew (Associate Professor of Medicine and Epidemiology).

This position is enabled by NIH funded research.

 

 

Minimum Degree Required

Requires a doctorate degree or equivalent in Biomedical or Health informatics, Implementation Science, Public Health, or related fields.

 

 

Minimum Qualifications

Candidate should:
Have strong project management skills;
Have experience with computer programming in popular languages such as Python or Java;
Have experience in implementation science research, evaluation, and mixed methods research designs;
Have outstanding written and oral communications skills;
Have experience with statistical analysis; computational and/or mathematical models.

 

 

EEO Statement

Columbia University is an Equal Opportunity/Affirmative Action employer —Race/Gender/Disability/Veteran.

 

Supplemental Questions

Required fields are indicated with an asterisk (*).

Documents Needed to Apply

Required Documents

  1. Curriculum Vitae
  2. Cover Letter
  3. Statement of Research

Optional Documents

 


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