Developer - Health & Genomic Data Protection Specialist

We're seeking an experienced Security Developer to implement ’s proprietary Genomic Veil (SGV) and Veiled Insights Framework (VIF) system for secure genomic data encryption and analysis. The ideal candidate will have 5-7 years of experience in security engineering with specific expertise in cryptographic implementations, distributed systems, and healthcare data privacy.

Key Responsibilities

• Develop and implement proprietary SGV architecture
• Build the cryptographic framework using AES-256 in GCM mode for securing genomic data
• Implement the key management system with master key encryption and secret splitting across AI agents
• Create the Veiled Insights Framework (VIF) that enables secure querying of encrypted twins
• Design and develop Gene Parser and Digital Twin Generator modules including GAN integration
• Establish secure storage for the distributed encrypted twins
• Develop protocols for secure aggregation of insights without full genome reconstruction
• Ensure all implementations are fully HIPAA-compliant and protect PHI according to regulations
• Conduct regular security assessments and create documentation for HIPAA compliance audits
• Collaborate with genomic researchers and data scientists to optimize the system for research usability
  
  

Required Skills & Experience

• 5-7 years as a security developer with focus on cryptographic implementations
• Strong experience with AES-256 encryption, particularly in GCM mode
• Demonstrated experience implementing HIPAA-compliant security systems
• Thorough understanding of Protected Health Information (PHI) requirements and safeguards
• Experience with building AI agents in healthcare data security and privacy regulations beyond HIPAA
• Experience implementing key management systems and secret sharing algorithms
• Proficiency in secure coding practices and identifying security vulnerabilities
• Experience with distributed systems and secure multi-party computation
• Strong programming skills in Python, Java, or C++
• Experience with cloud security and securing data in distributed environments
  
  

Preferred Qualifications

• Experience with Generative Adversarial Networks (GANs) or similar ML technologies
• Background in homomorphic encryption or secure multi-party computation
• Knowledge of differential privacy techniques
• Experience building security systems specifically for genomic data
• Proven track record of implementing systems that meet or exceed HIPAA Security Rule requirements
• Experience conducting HIPAA security risk assessments
• Experience developing de-identification strategies for PHI in research contexts
• Experience working with Institutional Review Boards (IRBs) on data security for human subjects research