Principal Scientist, Differential Privacy
Quick Summary
PPRL archetype datasets and demonstration solutions, DPDAP descriptions and demonstrations, expansion and analysis of the Collaborative Research Cycle (CRC), and de-identification evaluation methods.
Ph.D. in computer science with a focus on differential privacy or a related field from an accredited institution (or a demonstrated equivalent combination of education, training, and experience).
Join our team as a Principal Scientist, Differential Privacy and support the National Institute of Standards and Technology (NIST) Privacy Engineering Group by leading research into privacy-enhancing technologies, including privacy-preserving record linkage, differentially private data access primitives, and the evaluation of de-identified and synthetic data. You will direct the technical work across all task areas, author public-facing reports that formalize trust models and solutions, define rigorous privacy and utility metrics, and serve as the primary technical liaison with NIST staff — ensuring the Testbed delivers reproducible, real-world guidance that advances how sensitive data is shared and protected.
FWI is expanding rapidly and has been recognized as a 2024 and 2025 Top Workplace by the Washington Post, offering excellent growth opportunities in a collaborative environment.
Responsibilities
~1 min readNegotiable
Location & Eligibility
Listing Details
- Posted
- June 2, 2026
- First seen
- June 3, 2026
- Last seen
- June 3, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 49%
- Scored at
- June 3, 2026
Signal breakdown
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