Postdoctoral Researcher - Computational Toxicology
The EPA National Student Services Contract has an immediate opening for a full-time contractor position; Postdoctoral Researcher - Computational Toxicology with the Office of Research and Development at the EPA facility in Duluth, MN.
Salary: $43.73 per hour.
Travel: Occasional overnight travel may be required.
- Demonstrated education and/or experience in protein molecular modeling, molecular docking, molecular dynamic simulations, and/or virtual screening;
- Experience with computer science in the context of using the approaches to answer biological questions (e.g., bioinformatics approaches evaluating gene or protein data); and
- Strong written, oral and electronic communication skills.
- Experience programming in R or other scripting languages; and
- Experience using Molecular Operating Environment (MOE), AutoDock Vina, and/or similar software.
- Be at least 18 years of age and
- Have earned at least a doctoral degree in the fields of bioinformatics, computational toxicology, genetics, pharmacology, or a related field from an accredited university or college within the last 24 months and
- Be a citizen of the United States of America or a Legal Permanent Resident.
EPA ORD employees, their spouses, and children are not eligible to participate in this program.
What the EPA project is about
The Center for Computational Toxicology & Exposure (CCTE) is a scientific organization working to support Agency decisions by providing solutions-driven research to rapidly evaluate the potential human health and environmental risks due to exposures to environmental chemicals and ensure the integrity of the freshwater environment and its capacity to support human well-being.
As part of their mission, the Great Lakes Toxicology and Ecology Division (GLTED) supports EPA’s mission to protect human health and the environment by developing and applying innovations in computational toxicology. Specifically, through advancing methods in cross species extrapolation through developing methods and tools for the evaluation of species similarities and differences at the molecular level that can be used for predicting chemical susceptibility. Understanding chemical toxicity across the diversity of species from data generated with model organisms is essential to EPA’s mission. Predictive computational tools for addressing such challenges in extrapolating data from one species to many (i.e., cross-species extrapolation) are needed to support research objectives in the Office of Research and Development and regulatory needs across Program Offices.
This is an excellent opportunity for a recent PhD graduate to collaborate with EPA’s research team. Research experience includes:
- Participating as a member of a multi-disciplinary research team;
- Documenting code, methods, and tool/pipeline development efforts;
- Development of manuscripts and fact sheets supporting the data products; and
- Networking and exploring many career paths at EPA.
Interested in this research opportunity? If so, follow the link below to apply. Questions? Email EPANSSC@ORAU.org