Rad AI

Senior Implementation Engineer

United States

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$110,000 – $140,000Compensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Healthcare, Medical Imaging, Artificial IntelligenceIndustries

Requirements

Candidates should possess a Bachelor’s degree in Computer Science, Engineering, or a related field, and have at least 5 years of experience in software development, specifically with HL7 and FHIR interfaces. Strong experience with clinical data systems and a “can do” attitude are essential, along with the ability to adapt to a fast-paced, high-growth team.

Responsibilities

The Senior Implementation Engineer will develop and maintain HL7 and FHIR interfaces with customer systems, lead the standardization of interfaces, provide technical expertise and support during product implementation, monitor and alert interface health, test and troubleshoot implementations, facilitate end-to-end implementation testing, and provide end-to-end technical assistance for new clients during their implementation testing process, collaborating with Developers and Engineers on interface-related tasks to continually improve interface reliability and compatibility.

Skills

HL7

FHIR

Clinical Data Systems

Interface Development

Troubleshooting

Customer Collaboration

Documentation

Monitoring and Alerting

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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