• Full Time / Perm / Hybrid (four days a week in office in Downtown SF)
• Develop and enhance the Privacy Engine to ensure robust, fault-tolerant, and
• performant operation
• Research, design, and implement privacy-preserving algorithms and
• techniques
• Senior Privacy Scientist 2Analyze large-scale healthcare datasets to detect, analyze, and mitigate
• privacy risks
• Keep up-to-date with the latest privacy research and regulations, and ensure
• compliance with relevant standards
Skills & Experience:
• Understanding of standard stats models and distributions
• Familiarity with basic privacy models like k-anonymity and k-map
• Familiarity with multi-dimensional data interpolation
• Experience with NLP applications is a plus
• Ability to translate scholarly articles and research into production code
• Experience working with healthcare data or in a HIPAA-compliant environment
• Proficient in SQL
• 5+ years working a data science type roles required
Qualifications:
• Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related field
• Certifications in data privacy or security, such as CIPT or CIPP, are a plus
