Environmental ModelerThe position will be located in either Reston, VA, or Durham, NC, with the potential for remote work.
As an Environmental Modeler, you will:
- Serve as a technical lead on projects requiring exposure and pharmacokinetic modeling.
- Work on a diverse team that specializes in modeling the effects of environmental pollutants, such as metals, pesticides, and volatile organic compounds, on human health and the environment. For example, we support our Federal clients in:
- Developing human health risk assessments that may include dose-response and/or pharmacokinetic modeling.
- Developing and implementing fate and transport and exposure models.
- Creating custom exposure and risk models to simulate the effects of pollutants, such as lead.
- Scope, create, test, and document scientific code and user interfaces for exposure and pharmacokinetic models.
- Conduct data and statistical analysis involving Excel, Access, R, SAS, Python, SQL, VBA, and/or other software.
- Mentor junior coders in appropriate methods for developing and implementing environmental models.
As an Environmental Modeler, you will have:
- Experience with mathematics, probability, and statistics, with particular emphasis on differential equations and their numerical solutions.
- Expertise with R. Experience with Python, Fortran, VBA, and object-oriented programming is a plus.
- Experience running or, ideally, coding exposure and/or pharmacokinetic models. Familiarity with algorithms commonly used in exposure models.
- Strong written and oral communication skills, including experience with developing user guides and technical support documents.
- The ability to prioritize, multi-task, and work in groups, individually, and virtually under strict deadlines in a fast-paced environment.
Basic Qualifications:
- Master in Environmental Engineering, Physics, Mathematics, or related subject, or equivalent work experience.
- Minimum one to two years of experience using or coding environmental models.
Bot and Third-Party Applications
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 contactfor assistance.
Candidate AI Usage Policy
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 accommodationthat involves the use of AI. Ifsuch anaccommodation is needed, candidates are instructed to contact us in advance atcandidateaccommodation@icf.com. 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.
The pay range for this position based on full-time employment is:
$67,355.00 - $114,503.00
Nationwide Remote Office (US99)