Computation Toxicology and New Approach Methodologies

About this role

Applicants must have: A background in environmental health, toxicology, public health, environmental science, or a related scientific field. Experience conducting scientific literature searches and critically evaluating published research. Familiarity with computational toxicology concepts, including QSAR, PBPK modeling, machine learning, and other computational approaches used to interpret toxicological data. Experience conducting systematic reviews, scoping reviews, or other structured evidence synthesis methods.

Proficiency using reference management software (e.g., EndNote, Zotero, Mendeley, or similar). Strong scientific writing, technical communication, and analytical skills. Experience organizing, synthesizing, and summarizing complex scientific information from multiple sources. Preference may be given to applicants with: Knowledge of New Approach Methodologies (NAMs), including in vitro testing, omics technologies, organ-on-a-chip systems, and adverse outcome pathway (AOP) frameworks.

Familiarity with environmental exposure assessment and risk assessment principles. Knowledge of regulatory frameworks related to chemical safety, environmental health, or toxicology. Experience identifying and evaluating open-source scientific tools, databases, and reproducible research workflows. Ability to work independently while collaborating effectively in a multidisciplinary scientific environment. Volunteers must meet the definition of a student defined as "an individual enrolled not less than half-time in a high school, trade school, technical or vocational institute, junior college, college, university, or other accredited educational institution (5 U.S.C.

§3111(a) and 5 CFR §308.101)" throughout the duration of their volunteer service, except during acceptable breaks in education as described in 5 CFR §308.101.

Source listing: usajobs