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Postdoctoral Associate- Population and Environmental Health Disparities


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 postdoctoral fellows 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.

The successful candidate will have the opportunity to participate in multiple research projects involving study design and implementation, data collection, statistical analyses and publication. The postdoc will also gain experience in preparing study protocols, designing data collection tools, and developing research proposals in pursuit of independent funding opportunities.

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.

Candidates should have a Ph.D. in epidemiology, biostatistics, environmental health, or related field with strong quantitative, methodologic, and statistical analysis skills. Knowledge of SAS or R programming language required. Knowledge of environmental health disparities and experience working with multi-omics data sets, geographic information systems, relational databases, and statistical approaches to deal with environmental mixtures a plus. Candidates are expected to have excellent written and verbal communication skills; strong organizational and record keeping skills; and the capacity to work independently and with inter-disciplinary teams.

Interested candidates should send 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 to Elaine Symanski ( and Kristina W. Whitworth (

Location: HOUSTON,
Job Type: Full-time


Contact: Elaine Symanski

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