高级毒理学家（远程职位）

To support ICF’s dynamic growth and expanding client base, we are seeking a Senior Toxicologist to work in our Health Science Portfolio. This group of 100+ science professionals provide toxicology, hazard assessment, epidemiology, risk assessment, exposure assessment, environmental modeling, and related support that addresses the full spectrum of potentially hazardous agents, including chemicals and microbes. We specialize in identifying and quantifying the effects of environmental pollutants—including metals, pesticides, industrial chemicals, and volatile organic compounds—on human health and the environment.

The Senior Toxicologist’s project work would support federal agencies (such as U.S. EPA and NIEHS) in the design, conduct, and reporting of hazard studies and human health risk assessments for environmental pollutants. In particular, the successful candidate will provide leadership in the identification, interpretation, and integration of molecular biology, mechanistic toxicology, and new approach methodologies (NAMs) data to support hazard identification, mode-of-action analyses, systematic review, and human health risk assessments. The role will involve evaluating diverse evidence streams including gene expression, -omics, cellular and molecular assays, pathway-based data, and adverse outcome pathway (AOP) frameworks.

Project management and technical leadership activities on multiple projects concurrently involving toxicology data, systematic literature reviews, and risk assessment. Assist in the definition of project scope and objectives and serve as the primary point of contact for client and internal project teams.

Toxicological report development, including writing methods, results, and discussion sections, reviewing toxicological conclusions based on the test results, and synthesizing findings into a weight of evidence analysis.

Draft protocol and guidance documents, toxicological reports, manuscripts, project descriptions, and proposals.

Collaborate with multidisciplinary teams of toxicologists, biologists, epidemiologists, and statisticians to address complex scientific and regulatory questions.

Toxicology systematic review tasks including literature screening, study quality evaluation, study data extraction, dose-response analysis, incorporation of NAMs and mechanistic data, and data synthesis.

Supervise, mentor, and train junior- and mid-level staff.

Ph.D. in toxicology, pharmacology, environmental science, or related subject with 5+ years of experience in academic, industry, regulatory, or consulting fields.

OR Master’s degree in toxicology, pharmacology, environmental science, or related subject with 10+ years of experience.

Experience integrating mechanistic, animal, and human evidence into a weight-of-evidence evaluation

Experience with mode of action and adverse outcome pathway (MOA and AOP) concepts, frameworks, and analyses

Experience evaluating molecular, cellular, and mechanistic data including transcriptomics, proteomics, metabolomics, and high-throughput screening assays

Experience with NAMs, molecular biology techniques, and mechanistic data for regulatory decision-making

Strong quantitative skills with experience in dose-response analysis, benchmark dose modeling, pathway enrichment analyses, or similar modeling experience

Ability to prioritize, multi-task, and work under strict deadlines in a fast-paced environment

Demonstrated ability to formulate and execute technical approaches to solving scientific questions

Please note that this application must be submitted directly by the applicant for consideration. Failure to do so may result in the application being excluded for consideration. Applicants needing an accommodation for disability or religious purposes in connection with the application process should contact for assistance.

ICF is a global advisory and technology services provider, but we’re not your typical consultants. We combine unmatched expertise with cutting-edge technology to help clients solve their most complex challenges, navigate change, and shape the future.

We can only solve the world's toughest challenges by building a workplace that allows everyone to thrive. We are an equal opportunity employer.Together, our employees are empowered to share theirexpertiseand collaborate with others to achieve personal and professional goals. For more information, please read our EEOpolicy.

We will consider for employment qualified applicants with arrest and conviction records.

Reasonable Accommodations are available, including, but not limited to, for disabled veterans, individuals with disabilities, and individuals withsincerely heldreligious beliefs, in all phases of the application and employment process. To requestan accommodation,please email and we will be happy toassist. All information you provide will be kept confidential and will be used only to the extentrequiredto provide needed reasonable accommodations.

Read more about workplace discrimination rightsor our benefit offerings which are included in the Transparency in (Benefits) CoverageAct.

At ICF, we are committed to ensuring a fair interview process for all candidates based on their own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) tools to generate orassistwith responses during interviews (whether in-person or virtual) is notpermitted. This policy is in place tomaintainthe integrity and authenticity of the interview process.

However, we understand that some candidates may require accommodation that involves the use of AI. Ifsuch anaccommodation is needed, candidates are instructed to contact us in advance at . Weare dedicated to providingthe necessary support to ensure that all candidates have an equal opportunity to succeed.

Pay Range - There are multiple factors that are considered in determining final pay for a position, including, but not limited to, relevant work experience, skills, certifications and competencies that align to the specified role, geographic location, education and certifications as well as contract provisions regarding labor categories that are specific to the position.