- Utilize statistical programming languages including but not limited Stata, SAS, R, Python.
- Perform data linkages.
- Perform statistical analysis of large dataset to investigate the associations between exposure to wildfire related air pollution and risk of adverse birth outcome.
- Provide data management, including detailed data cleaning, dataset creation
- Apply methodological expertise in longitudinal analysis and multilevel modeling.
- Implement analyses in close collaboration with and in support of a broader interdisciplinary research team.
- Manage data storage in accordance with IRB and security protocols
- Contribute to publications that summarize study findings.
- Help draft manuscript, prepare tables and figures based on findings, prepare bibliographies.
- Assist in preparing and submitting manuscripts for publication and responding to comments from reviewers and editors.
- Draft abstracts for submission to local, state, and national professional society meetings and other conferences.
- Develop project-related presentation materials
- Initiate, modify, and manage applications to the UMD Committee on Human Research for approval of research studies.
- Participate in the development of new grant proposals, including literature review, identification of databases, and preliminary analyses.
- Be part of an interdisciplinary team of epidemiologists, geographers, and air pollution experts.
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Post Doctoral Associate - Berwyn Heights, United States - University of Maryland
Description
The Department of Epidemiology and Biostatistics at the University of Maryland School of Public Health is looking for a post-doctoral fellow to work on a project entitled "Wildfires and Infant Health".
Climate change is increasing the frequency and intensity of wildfires in the United States.Air pollution from wildfires now account for significant proportion of overall air pollution and the contribution of wildfires to air quality will likely increase as they proliferate and other anthropogenic sources decline.
Wildfire produced air pollutants are spread across thousands of miles by prevailing winds, potentially increasing of adverse birth outcomes. The post-doctoral fellow, supervised by Drs.Amir Sapkota and Michel Boudreaux will perform statistical analysis linking exposure wildfire related air pollution (developed from satellite observations, ground monitors, and numeric modeling) with adverse birth outcomes including low birthweight, preterm birth, hospital service use, and mortality.
Essential Functions:
Analyses
