One-Year Computational Toxicology & NAMs Fellowship

Oak Ridge Institute for Science and Education; Silver Spring (MD); On-site; USD 24,000 - 42,000; Full time

Job summary

The Oak Ridge Institute for Science and Education is seeking candidates for a project involving the development of toxicology databases and computational models. Under mentorship, candidates will analyze data and develop models integrating machine learning and statistical analysis to translate nonclinical data into safety endpoints.

This full-time, renewable one-year position begins around July 1, 2026, with a stipend based on educational level. Eligible applicants must be U.S. citizens, Lawful Permanent Residents, or meet specific immigration guidelines.

Qualifications

• Currently pursuing or have received a master’s or doctoral degree in a relevant field within the last five years.
• Strong background in computational modeling and data analysis.
• Experience with statistical methods and machine learning is preferred.

Responsibilities

• Collaborate with multidisciplinary teams to curate large-scale datasets.
• Investigate patterns in toxicological data using statistical methods.
• Develop AI, statistical, or mechanistic models for safety endpoints.

Skills

Computational modeling

Data analysis

Statistical methods

Machine learning

AI approaches

Communication skills

Education

Master’s or doctoral degree in a relevant field

Job description

The Oak Ridge Institute for Science and Education is seeking candidates for a project involving the development of toxicology databases and computational models. Under mentorship, candidates will analyze data and develop models integrating machine learning and statistical analysis to translate nonclinical data into safety endpoints.

This full-time, renewable one-year position begins around July 1, 2026, with a stipend based on educational level. Eligible applicants must be U.S. citizens, Lawful Permanent Residents, or meet specific immigration guidelines.