Job Description

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

Job Tags

Similar Jobs