Job Description

Data Privacy Scientist
Remote | Full-Time

About the Client
Our client is a pioneering company in the healthcare AI sector, committed to making high-quality, de-identified patient data accessible to AI developers while maintaining the highest standards of privacy and security. Their platform is designed to facilitate responsible AI development, ensuring that patient safety and data integrity remain at the core of every innovation.

About the Role
Our client is seeking a Data Privacy Scientist to develop and implement cutting-edge privacy-preserving techniques for handling sensitive healthcare data. This role involves ensuring compliance with data privacy regulations, designing de-identification frameworks, and enhancing privacy-preserving AI methodologies. The ideal candidate will work closely with data scientists, engineers, and legal teams to balance data utility with rigorous privacy safeguards.

Responsibilities

• Develop and refine de-identification and anonymization techniques for structured and unstructured healthcare data.
• Design and implement privacy-preserving machine learning methodologies, including federated learning and differential privacy approaches.
• Ensure compliance with HIPAA, GDPR, and other relevant data privacy regulations in all data processing workflows.
• Conduct risk assessments and implement mitigation strategies to protect sensitive patient information.
• Collaborate with technical and legal teams to define data privacy policies and best practices.
• Research and apply the latest advancements in privacy-enhancing technologies to real-world healthcare data challenges.
• Support the development of secure data-sharing frameworks that enable AI research while maintaining patient confidentiality.
• Develop clear documentation and communicate complex privacy concepts to internal and external stakeholders.

Requirements

• Advanced degree in Computer Science, Data Science, Cybersecurity, Biomedical Informatics, or a related field. A bachelor’s degree with relevant experience may be considered.
• Minimum of 2 years of experience working with data privacy, security, or anonymization in healthcare or AI environments.
• Strong understanding of privacy-preserving AI techniques, including differential privacy, homomorphic encryption, and federated learning.
• Proficiency in Python and SQL, with experience using relevant privacy-focused libraries and frameworks.
• Knowledge of HIPAA, GDPR, and other global data protection regulations.
• Experience designing and implementing secure data-sharing protocols.
• Strong analytical, problem-solving, and communication skills.
• Experience in startup environments is a plus.

Preferred Technical Skills

• Familiarity with cryptographic methods for secure computation.
• Experience with privacy-enhancing technologies (PETs).
• Knowledge of synthetic data generation techniques.
• Experience working with de-identification frameworks for clinical data.
• Familiarity with cloud platforms such as AWS for secure data processing.

Why Join?

• Fully remote role with flexible working hours.
• Competitive compensation and equity opportunities.
• Comprehensive benefits, including healthcare, dental, vision, PTO, and more.
• Dedicated professional development support.
• Collaborative and mission-driven work environment focused on AI-driven healthcare advancements.
• Opportunity for occasional travel for in-person team collaboration.

If you are passionate about advancing data privacy in AI-driven healthcare, we encourage you to apply!

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