Rad AI

Senior Data Engineer

United States

$145,000 – $190,000Compensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Healthcare, Medical Imaging, Data EngineeringIndustries

Position Overview

  • Location Type: Remote
  • Job Type: Full-Time
  • Salary: $145K - $190K

Rad AI is transforming healthcare with artificial intelligence. We’re on a mission to revolutionize radiology, saving time, reducing burnout, and improving patient care. We’ve secured over $140M in funding and are building AI-powered solutions used by thousands of radiologists and impacting nearly 50% of all medical imaging in the U.S. at partners including Cone Health, Jefferson Einstein Health, Geisinger, Guthrie Healthcare System, and Henry Ford Health. Recognized as one of the most promising healthcare AI companies by CB Insights and AuntMinnie, and ranked by Deloitte as the 19th fastest-growing company in North America, we're seeking a Senior Data Engineer to join our growing team.

Requirements

  • 4+ years relevant experience in data engineering.
  • Expertise in designing and developing distributed data pipelines.
  • Experience with pipeline authoring tools like Metaflow.
  • Proficiency in large-scale data processing technologies like Spark.

Responsibilities

  • Design and implement the data architecture, ensuring scalability, flexibility, and efficiency.
  • Define and extend internal standards for data style, maintenance, and best practices.
  • Collaborate with researchers and stakeholders to understand their data needs (including model training and production monitoring systems) and develop solutions.
  • Take ownership of key data engineering projects and work independently.
  • Ensure data quality, integrity, and security through data validation, monitoring, and access controls.
  • Evaluate and recommend data technologies and tools to improve data engineering efficiency.
  • Continuously monitor, maintain, and improve the performance and stability of the data infrastructure.

Company Information

  • About Rad AI: Rad AI is revolutionizing healthcare with artificial intelligence.
  • Funding: Over $140M in funding, including a recently oversubscribed $60M Series C round.
  • Investors: Transformation Capital, Khosla Ventures, World Innovation Lab, Gradient Ventures, Cone Health Ventures, and others.
  • Recognition: Recognized as one of the most promising healthcare AI companies by CB Insights and AuntMinnie, and ranked by Deloitte as the 19th fastest-growing company in North America.
  • Impact: AI-powered solutions used by thousands of radiologists and impacting nearly 50% of all medical imaging in the U.S. at partners including Cone Health, Jefferson Einstein Health, Geisinger, Guthrie Healthcare System, and Henry Ford Health.

Skills

Distributed Data Pipelines
Metaflow
Spark
Large-scale Data Processing
Data Architecture
Data Quality
Data Security
Data Monitoring
Data Tools Evaluation

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.

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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