342 information-security "https:" "https:" "https:" "https:" "U.S" positions at Oak Ridge National Laboratory in United States
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
. Visa Sponsorship: Visa sponsorship is not available for this position. About ORNL: As a U.S. Department of Energy (DOE) Office of Science national laboratory, ORNL has an impressive 80-year legacy
-
and participation in random drug testing. Due to SCI access requirements, the position may also require polygraph testing. Visa sponsorship is not available for this position. About ORNL: As a U.S
-
participation in an ongoing random drug testing program. Visa Sponsorship: Visa sponsorship is not available for this position. About ORNL: As a U.S. Department of Energy (DOE) Office of Science national
-
(https://www.olcf.ornl.gov/frontier ) and plant phenotyping (https://www.ornl.gov/appl ). GPTgp is a pilot project initiated in September 2025 with funding from the US Department of Energy and will
-
to achieve operational excellence. About ORNL: As a U.S. DOE Office of Science national laboratory, ORNL has an impressive 80-year legacy of addressing the nation’s most pressing challenges. Our team is made
-
combination of education and experience may be considered. Preferred Qualifications: Experience in DOE safeguards and security operations is desired, as well as database management. Excellent human relations
-
environment; to include establishing baselines, incorporating baseline changes, producing monthly reports and variance analysis. Visa Sponsorship: Visa sponsorship is not available for this position. Security
-
/exploits information as required Researches, develops, and conducts CI security awareness briefings Serves as counterintelligence liaison to NNSA Y-12 site Qualifications Required: A bachelor's degree and a
-
levels of management. Assist with other tasks as needed or as assigned by management. Ensure systems are configured and maintained per cyber security common control requirements so that accreditation is
-
engineering. This position seeks a candidate with demonstrated experience in applied machine learning and computational data science for complex, safety-critical systems, with an emphasis on time-series anomaly