Ph.D. Computational Toxicology Researcher

Overview

The EPA National Student Services Contract has an immediate opening for a full time Postdoctoral Computational Toxicology Researcher position with the Office of Research and Development at the EPA facility in Duluth, MN.

The Office of Research and Development at the EPA supports high-quality research to improve the scientific basis for decisions on national environmental issues and help EPA achieve its environmental goals. Research is conducted in a broad range of environmental areas by scientists in EPA laboratories and at universities across the country.

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.

Responsibilities

This position, in collaboration with Unilever scientists through a Cooperative Research and Development Agreement (CRADA), will jointly explore the utility of a battery of new approach methods (NAMs), which are non-animal based, for evaluating the safety and hazard of chemicals – establishing Next Generation Risk Assessments (NGRA). One of the primary missions of the US Environmental Protection Agency, Office of Research and Development, Center for Computational Toxicology and Exposure is to develop such methods. This includes high-throughput transcriptomics methods (HTTr) and bioinformatics approaches to predict chemical susceptibility across species (e.g., SeqAPASS; https://seqapass.epa.gov/seqapass/). Understanding the conservation and relevance of targets and toxicity pathways, identified through HTTr screening using human and fish cell lines, across environmentally relevant species to inform chemical susceptibility and ultimately inform Environmental Risk Assessment (ERA) are major objectives of this training opportunity. This will be achieved using a suite of bioinformatics tools encompassing genomics and phylogenetics. The participant will be involved in the development of interoperable approaches to inform predictions of cross-species chemical susceptibility with demonstration of their application toward current challenges in ERA. Additionally, literature review will be conducted to capture cross-species biological pathway information linking mechanisms of chemical perturbation to adverse effects.

 

As a team member, you will be trained in predictive toxicology aimed at characterizing the similarities and differences across species that drive chemical sensitivity. The position will primarily be computationally-based research taking place in an office setting with the potential to apply molecular techniques in the laboratory to validate computational results. You will provide database management, file management, data curation and extraction, quality control, as well as performing qualitative and quantitative data analysis. The team member will be a member of a multi-disciplinary research team and support the development, maintenance, and expansion of analysis for the SeqAPASS data, tools, and web application.

 

Data Development and Analysis responsibilities will include:

• Estimating points of departure (e.g., lowest observed effect concentrations, benchmark doses) from high throughput toxicity testing data including ToxCast data and omics data sets;
• Comparing points of departure from alternative methods with those derived from traditional animal testing;
• Designing workflows and data analysis pipelines for automated and standardized analysis of large data sets;
• Developing and implementing a data archiving and storage system;
• Automate data collection and collation processes;
• Propose solutions and strategies to improve existing web-based U.S. EPA tools, particularly considering in