Postdoctoral Associate- Population And Environmental Health Disparities

Summary

The Center for Precision Environmental Health (CPEH) and the Department of Medicine, Section of Epidemiology and Population Sciences at Baylor College of Medicine (BCM) is seeking a Postdoctoral Associate to join the Program in Population and Environmental Health Disparities. The CPEH is home to the Gulf Coast Center for Precision Environmental Health (GC-CPEH), a NIEHS P30 Environmental Health Sciences Core Center, a NIEHS T32 Training in Precision Environmental Health Sciences (TPEHS) program, and a Center of Excellence in Environmental Health Disparities Research, The Maternal and Infant Environmental Health Riskscape (MIEHR) Research Center, funded by NIMHD, NIEHS and NICHD.

Current projects within the Program include investigations of environmental chemical exposures, non-chemical stressors, and a range of health outcomes including preterm birth, fetal growth, maternal morbidity, and child neurodevelopment. Research themes within the Program include interrogating the contribution of the environmental riskscape to health disparities; the impact of climate change and disasters on vulnerable populations; health effects of environmental mixtures; identifying sensitive windows of exposure to environmental chemicals; environmental justice; and community engagement. The postdoctoral associate will work directly with Drs. Elaine Symanski and Kristina Whitworth, with interactions with other faculty and staff, and will be given the opportunity to pursue independent lines of inquiry related to the impact of the environment on health.

Job Duties

• Preparing study protocols.
• Participates in multiple research projects involving study design and implementation, data collection, statistical analyses and publication.
• Designing data collection tools.
• Gains experience in the following:
  • Preparing study protocols.
  • Designing data collection tools.
  • Developing research proposals in pursuit of independent funding opportunities.
• Developing research proposals in pursuit of independent funding opportunities.

Minimum Qualifications

• MD or Ph.D. in Basic Science, Health Science, or a related field.
• No experience required.

Preferred Qualifications

• Knowledge of SAS or R programming language.
• Knowledge of environmental health disparities.
• Strong quantitative, methodologic, and statistical analysis skills.
• Experience working with multi-omics data sets, geographic information systems, relational databases, and statistical approaches to deal with environmental mixtures.
• Ph.D. in epidemiology, biostatistics, environmental health, or related field.

Applicant Instructions

With your application, please submit a cover letter highlighting past experience and alignment of future career goals with this position, a CV, and the names and contact information for three references