A Research Scientist position in Dr. Macarius Donneyong's lab in the Division of Outcomes and Translational Sciences, College of Pharmacy, The Ohio State University, Columbus, OH. The Research Scientist will oversee the implementation of a portfolio of exciting research projects that blend methods in pharmacoepidemiology with Artificial intelligence (AI)/Machine learning (ML) techniques to generate real-world evidence on the use of prescribed medications, especially among older adults and racial/ethnic minorities. These studies involve the use of real-world data (health insurance claims data, electronic health records), alone and/or linked with other datasets (survey data and aggregated geographic datasets), as such, the Research Scientist would be required to have experience with analyzing these types of datasets. The Research Scientist will routinely interface with Dr. Donneyong and his local and external collaborators to: 1) develop research protocols and supervise their implementation; 2) contribute to the development of manuscripts and research reports; and 3) participate in the development of research grant proposals. The Research Scientist will have the opportunity to mentor and supervise postdoctoral scholars and student trainees.
Required Qualifications: PhD in Pharmacoepidemiology, Epidemiology, Health Services Research, Health Economics, Statistics/Biostatistics, Biomedical Informatics, Computer Science, Data Science, or other fields related to pharmacoepidemiology. Minimum of 2+ years of relevant post doctoral scholar research experience. Strong quantitative skills and proficiency in statistical programming languages such as R, Python, SAS or SQL. Experience in analyzing real-world datasets (health insurance claims data, electronic health records), alone and/or linked with other datasets (survey data and aggregated geographic datasets). Experience with data management, programming, and development of analytic study protocols. Experience with implementation of AI/ML models. Prior experience with cloud computing. Excellent written and verbal communication skills, with a proven track record of scientific publications and presentations. Ability to work independently and collaboratively in a multidisciplinary environment.
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