Tenured and Tenure-Track Faculty in Environmental Health

About the role

Rice University invites applications for multiple tenured and tenure‑track faculty positions at the senior and junior levels in Environmental Health, with preferred focus areas in environmental and occupational epidemiology, environmental exposures and sustainability, environmental risk assessment, toxicology, infectious diseases, global environmental health, climate impacts on health, and their intersection with environmental justice. The anticipated start date is July 1, 2027. Successful candidates will hold a primary appointment in the Department of Kinesiology (ranked #1 nationally by Niche™) and receive robust joint appointments in the Departments of BioSciences, Chemistry, and Earth, Environmental and Planetary Sciences as appropriate. These hires are part of an initiative to strengthen interdisciplinary environmental health scholarship, including the new Climate + Health Excellence Center (FORECAST) funded by the Burroughs Wellcome Fund.

Responsibilities

• Establish a vibrant, externally funded research program.
• Collaborate across disciplines within Rice and with external partners.
• Teach undergraduate and graduate courses in environmental health and related areas.
• Contribute to the Climate + Health Excellence Center (FORECAST) and its research agenda.
• Explore connections to exercise science, particularly the impacts of extreme heat, air quality, and toxicants on human physiology and performance.
• Address climate impacts on human health, infectious disease, sustainability, and One Health principles.
• Foster a diverse and inclusive research group and equitable classroom environment.

Qualifications

• PhD, DrPH, or equivalent degree in public health science or a relevant natural science or engineering field.
• Degree requirements completed by July 1, 2027.
• Demonstrated interdisciplinary approach to environmental health research.
• Quantitative training in biostatistics, epidemiological modeling, spatial analytics (GIS), or AI/data science.
• Experience analyzing clinical (e.g., electronic medical records), registry (e.g., Texas Cancer Registry), or administrative (e.g.,