Internship

Software Engineer Internship

Updated on 4/2/2025

Rad AI

Rad AI

51-200 employees

AI-driven software for radiology workflows

No salary listed

Remote in USA

Candidates can work from anywhere in the US or Canada. There is an option for in-office work in San Francisco for those who prefer it, with 1-2 in-person team gatherings for collaboration and bonding.

Category
Full-Stack Engineering
Software Engineering
Required Skills
FastAPI
Python
JavaScript
TypeScript
Requirements
  • Currently enrolled in a full-time, degree-seeking program and in the process of obtaining a Bachelors or Masters degree in computer science or a related field
  • Demonstrated software engineering experience from a previous internship, work experience, coding competitions, projects, or publications
  • Experience coding in an industry-standard languages Python, JavaScript / TypeScript, FastAPI, or equivalent modern languages/frameworks
  • Knowledge of relational and document based databases, as well as other large scale data storage paradigms
  • Knowledge of modern web architecture and best practices
  • Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment
  • Enthusiasm for AI applications in healthcare
  • Intent to return to degree-program after the completion of the internship/co-op
Responsibilities
  • Contribute to our core products and features
  • Collaborate with a multidisciplinary team of engineers, research scientists, and radiologists
  • Gain hands-on experience in the full software development lifecycle
Desired Qualifications
  • Enthusiasm for AI applications in healthcare

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 into existing radiology systems, making it easier for radiologists to manage their work. 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.

Company Size

51-200

Company Stage

Series C

Total Funding

$139M

Headquarters

San Francisco, California

Founded

2018

Simplify Jobs

Simplify's Take

What believers are saying

  • Rad AI raised $60M Series C, accelerating global AI technology deployment.
  • Rad AI's collaboration with AGFA HealthCare enhances radiology workflow efficiency.
  • Rad AI's software increased radiograph efficiency by 48% at Radiology Associates of North Texas.

What critics are saying

  • Increased competition from AI-driven radiology platforms like Aidoc and Zebra Medical Vision.
  • Potential over-reliance on AI could degrade radiologists' skills.
  • Rapid AI development may outpace regulatory frameworks, causing compliance challenges.

What makes Rad AI unique

  • 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's proprietary LLMs automate radiology report documentation, leading in AI-driven healthcare.

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Benefits

Health Insurance

Health Savings Account/Flexible Spending Account

401(k) Retirement Plan

Paid Holidays

Remote Work Options

Unlimited Paid Time Off

Growth & Insights and Company News

Headcount

6 month growth

0%

1 year growth

2%

2 year growth

-3%
Intelligence360
Feb 6th, 2025
Rad AI Secures $60M Series C Funding

Rad AI has closed a $60 million Series C funding round, led by Transformation Capital, valuing the company at $525 million. This investment will accelerate the development and deployment of Rad AI's generative AI technology for healthcare providers globally. Rad AI's solutions, including Rad AI Reporting and Rad AI Continuity, aim to improve radiologist efficiency, reduce burnout, and enhance patient care. The company has raised over $140 million to date and is expanding its team.

Best of AI
Jan 27th, 2025
Healthcare startup Rad AI has raised a new round of funding from Transformation Capital at a $525 million valuation

Rad AI, a healthcare startup founded in 2018, recently raised $60 million in a Series C funding round led by Transformation Capital, valuing the company at $525 million, as it continues to develop AI-powered tools to automate tasks for radiologists and reduce burnout.

Business Insider
Jan 24th, 2025
Rad AI raises $60M at $525M valuation

Rad AI, a healthcare startup, raised a Series C funding round led by Transformation Capital, valuing the company at $525 million. The round brought in about $60 million. This follows a $50 million Series B led by Khosla Ventures in May 2024. Rad AI, founded in 2018, uses generative AI to automate tasks for radiologists. The company is working with nearly half of all US health systems and 9 of the 10 largest radiology practices.

PR Newswire
Dec 2nd, 2024
Agfa Healthcare And Rad Ai Announce Strategic Collaboration To Enhance Radiology Workflows

Collaboration addresses longstanding inefficiencies in radiology workflow, as well as reducing burnout and empowering radiologists to focus on what truly matters - "staying in the flow". CHICAGO, Dec. 2, 2024 /PRNewswire/ -- AGFA HealthCare and Rad AI are announcing a strategic collaboration to enhance radiology workflows. Building on its leadership in Enterprise Imaging, AGFA HealthCare is raising the bar with Rad AI Reporting and FHIRcast integration. These cutting-edge solutions, powered by AI-driven reporting, enable radiologists to work faster, smarter, and with greater precision. By addressing critical workflow inefficiencies, AGFA HealthCare and Rad AI are not just setting the industry standard in data exchange and interoperability — they are shaping the future of radiology

PR Newswire
Dec 1st, 2024
Rad Ai Reporting Revolutionizes Radiology: 48% Increase In Efficiency At One Of The Nation'S Largest Private Practices

AI-driven innovation increases radiograph efficiency by 48%, improves overall productivity by 25%, and alleviates radiologist fatigue. CHICAGO, Dec. 1, 2024 /PRNewswire/ -- Radiology Associates of North Texas (RANT), the largest private radiology practice in Texas and one of the largest in the nation, is transforming its operations with Rad AI Reporting, achieving a 48% increase in radiograph reporting efficiency and a 25% increase in overall hourly RVU productivity. These impressive results highlight Rad AI's longstanding leadership in generative AI. "It's incredible that Rad AI Reporting won AuntMinnie's 'Best New Radiology Software' recognition at last year's RSNA, and now, in 2024, we are already demonstrating transformational results as we deploy Rad AI Reporting to radiology groups nationwide," said Josh Duncan, Senior Vice President of Sales, Marketing, Customer Success. "The feedback and outcomes from RANT showcase why Rad AI Reporting is the fastest-commercialized software in radiology history."