... homomorphic encryption or secure multi-party computation • Knowledge of differential privacy techniques • Experience building security systems specifically for genomic data • Proven track ...
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... homomorphic encryption or secure multi-party computation • Knowledge of differential privacy techniques • Experience building security systems specifically for genomic data • Proven track ...
Homomorphic Encryption information
What is a Homomorphic Encryption job?
A Homomorphic Encryption job typically involves researching, designing, and implementing cryptographic techniques that allow computations on encrypted data without decrypting it. Professionals in this field work on secure data processing, privacy-preserving machine learning, and cloud security. They often have expertise in cryptography, mathematics, and computer science, and may develop theoretical advancements or practical applications. Opportunities exist in academia, government, and industries like finance and healthcare that require secure data computation.
What are the key skills and qualifications needed to thrive in the Homomorphic Encryption position, and why are they important?
To thrive in the field of Homomorphic Encryption, you need a deep understanding of cryptography, strong mathematical and algorithmic skills, and typically an advanced degree in computer science, mathematics, or a related field. Experience with programming languages such as Python, C++, and libraries like Microsoft SEAL or HElib, as well as familiarity with cryptographic protocols, is highly beneficial. Analytical thinking, creative problem-solving, and effective communication are key soft skills for presenting complex concepts and collaborating with multidisciplinary teams. These competencies are essential to advance secure data processing solutions and drive innovation in privacy-preserving technologies.
What does a typical day look like for someone working in Homomorphic Encryption?
Professionals specializing in Homomorphic Encryption often split their day between research, software development, and collaboration. You may spend time designing and implementing cryptographic algorithms, benchmarking performance, and staying current on the latest advances in the field. Regular meetings with data scientists, security engineers, and product teams are common, as secure computation frequently supports larger privacy or compliance goals. The role requires a balance of independent deep work and cooperative problem-solving, making it both intellectually stimulating and collaborative.
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Contractor
Posted 29 days ago
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
About Snowrelic
Sourced by ZipRecruiter
Industry
It services
Company size
11 - 50 Employees
Headquarters location
Reston, VA, US
Year founded
2021