Rad AI

Senior Security Engineer, Application & Cloud

United States

Rad AI Logo
$150,000 – $180,000Compensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Healthcare, Artificial Intelligence, SaaSIndustries

Requirements

Candidates should possess a Bachelor’s degree in Computer Science, Information Security, or a related field, and have at least 7 years of experience in cybersecurity, with a strong focus on application and cloud security. Demonstrated expertise in security tools and methodologies across CI/CD pipelines, including SAST, SCA, and IaC scanning is essential. Experience with container security and cloud security best practices is also required.

Responsibilities

The Senior Security Engineer will integrate and manage security tools within CI/CD pipelines to identify vulnerabilities early, collaborate with developers to address security issues, perform code and system security assessments, and embed robust security controls to meet client compliance needs. They will also contribute to the design and implementation of secure application and cloud architectures, ensuring the protection of data and systems while supporting innovation and rapid development.

Skills

SAST
SCA
IaC
Container Scanning
CI/CD
Application Security
Cloud Security
Security Assessments
Security Policies

Rad AI

AI-driven software for radiology workflows

About Rad AI

Rad AI enhances radiology workflows using artificial intelligence to improve efficiency and accuracy in radiological practices. Its main product, Omni Reporting, automates routine tasks, ensures follow-up on incidental findings, and improves reporting accuracy. This software integrates seamlessly into existing workflows, making it easier for radiologists to manage their tasks. Unlike competitors, Rad AI emphasizes data security and patient privacy, being SOC 2 Type II and HIPAA certified. The company's goal is to provide reliable AI-driven solutions that streamline healthcare processes and improve patient outcomes.

Key Metrics

San Francisco, CaliforniaHeadquarters
2018Year Founded
$76.8MTotal Funding
SERIES_BCompany Stage
AI & Machine Learning, HealthcareIndustries
51-200Employees

Benefits

Health Insurance
Health Savings Account/Flexible Spending Account
401(k) Retirement Plan
Paid Holidays
Remote Work Options
Unlimited Paid Time Off

Risks

Emerging competition from companies like DeepMind could overshadow Rad AI's offerings.
Rapid AI technology evolution requires Rad AI to continuously innovate.
AI-driven automation may face resistance from the medical community.

Differentiation

Rad AI's Omni Reporting won 'Best New Radiology Software' by AuntMinnie.
Rad AI integrates AI with FHIRcast for enhanced radiology workflow interoperability.
Rad AI is a pioneer in using large language models for radiology report generation.

Upsides

Rad AI achieved a 48% increase in radiograph reporting efficiency at RANT.
Rad AI raised $50M in Series B funding, boosting its expansion capabilities.
Strategic collaboration with AGFA HealthCare enhances Rad AI's market position.

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