This position is located in the Agency for Toxic Substances and Disease Registry, headquartered in Atlanta, Georgia.
What you'd do
- WHAT YOU'LL BE DOING DAY TO DAY As a Student Volunteer, you will use your knowledge of and experience with Pharmacokinetic (PK) Tools Modeling Developer to optimize business results and customer experience by: Translate pharmacokinetic (PK) models from proprietary software platforms into open-source programming languages, including R and Python.
- Develop, test, and maintain scientifically accurate code using standardized software development and coding practices.
- Verify and validate translated models through cross-platform comparisons, simulation testing, sensitivity analyses, and other quality assurance methods.
- Integrate validated PK models into an open-source software toolkit for environmental and human health applications.
- Support development of user-friendly software features, including command-line and graphical user interfaces, as appropriate.
- Prepare technical documentation, user guides, tutorials, and code documentation to support software implementation and reproducibility.
- Collaborate with multidisciplinary teams to ensure scientific accuracy, software functionality, and usability.
- Assist with evaluating and prioritizing PK models relevant to environmental exposure assessment, chemical safety evaluation, and risk assessment.
- Apply software engineering best practices, including testing, debugging, version control, and code review.
- Contribute to open-source software development efforts that improve transparency, reproducibility, and accessibility of computational models for environmental and public health.
- Characterizing the current state of knowledge on the physicochemical properties of microplastics and nanoplastics that influence toxicity.
- Identifying how computational and alternative methods are being applied to model their behavior, fate, and biological interactions.
- Evaluating the strengths, limitations, and data gaps associated with these approaches.
- Highlighting opportunities for integrating computational models with experimental NAM data to improve risk assessment
What you get
- This is an unpaid volunteer internship.
- Participants are not eligible for salary, stipends, benefits, or other forms of compensation.
- Participation does not confer eligibility for federal employee benefits, including health insurance, retirement, leave accrual, or any other employment related benefits.
- Starts
- 2026-09-10