Are you interested in assuring advanced artificial intelligence systems?

Are you excited by the opportunity to measure and evaluate cutting-edge AI in real-world DoD systems?

Do you have a passion for turning data into actionable insights?

If so, we are looking for someone like you to join our team!

If so, we're looking for someone like you to join our team at APL.

We seek a statistician to design experiments and analyze data to help us understand how artificial intelligence systems perform in real DoD use cases. Our team works with multiple government agencies in defense and healthcare. We evaluate artificial intelligence technologies ranging from computer vision on sensors to reinforcement learning in autonomous vehicles to large language models in strategic planning. Our work is not theoretical - we have real systems, real users, and real missions!

As an AI Assurance Statistician...

• You will design experiments for real world AI systems in defense and healthcare
• You will analyze real-world data to ensure validity and reliability, supporting assurance of critical government missions
• You will collaborate with a skilled team of AI researchers at the forefront of defense and health testing
• You will create and present ideas, proposals, experimental designs, and analyses directly to our sponsors.

You meet our minimum qualifications for the job if you...

• Have a Master's degree in Statistics or related field
• Are proficient in statistical software such as R, JMP, or Python
• Have strong knowledge and understanding of statistical methods for data analysis, including regression analysis, ANOVA, and multivariate analysis
• Have strong communication skills and the ability to collaborate and work effectively in a team environment
• Are able to obtain an Interim Secret level security clearance by your start date and can ultimately obtain a Top Secret level clearance. If selected, you will be subject to a government security clearance investigation and must meet the requirements for access to classified information. Eligibility requirements include U.S. citizenship.

You'll go above and beyond our minimum requirements if you...

• Have a Ph.D. in Statistics or a related field
• Have 3 years of experience in statistical analysis and/or experimental design
• Have experience in designing statistically rigorous experiments with real-world constraints
• Are comfortable presenting and explaining statistical concepts and analyses to senior executives

Why work at APL?The Johns Hopkins University Applied Physics Laboratory (APL) brings world-class expertise to our nation's most critical defense, security, space and science challenges. While we are dedicated to solving complex challenges and pioneering new technologies, what makes us truly outstanding is our culture. We offer a vibrant, welcoming atmosphere where you can bring your authentic self to work, continue to grow, and build strong connections with inspiring teammates.

At APL, we celebrate our differences and encourage creativity and bold, new ideas. Our employees enjoy generous benefits, including a robust education assistance program, unparalleled retirement contributions, and a healthy work/life balance. APL's campus is located in the Baltimore-Washington metro area. Learn more about our career opportunities athttp://www.jhuapl.edu/careers.

APL is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, creed, color, religion, sex, gender identity or expression, sexual orientation, national origin, age, physical or mental disability, genetic information, veteran status, occupation, marital or familial status, political opinion, personal appearance, or any other characteristic protected by applicable law.

APL is committed to promoting an innovative environment that embraces diversity, encourages creativity, and supports inclusion of new ideas. In doing so, we are committed to providing reasonable accommodation to individuals of all abilities, including those with disabilities. If you require a reasonable accommodation to participate in any part of the hiring process, please contact Accommodations@jhuapl.edu. Only by ensuring that everyone's voice is heard are we empowered to be bold, do great things, and make the world a better place.