Rad AI

Senior ML Research Scientist

United States

$170,000 – $220,000Compensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Healthcare, Medical Imaging, RadiologyIndustries

Position Overview

  • Location Type: Remote
  • Job Type: Full-Time
  • Salary: $170K - $220K

Rad AI is a healthcare AI company revolutionizing radiology through AI-driven solutions. We're focused on improving patient care, reducing burnout, and enhancing diagnostic accuracy. We’ve raised over $140M and are recognized as one of the most promising healthcare AI companies. We are seeking a Machine Learning Scientist and NLP expert to build state-of-the-art speech and language models for radiologists.

Requirements

  • Masters (PhD preferred) in Computer Science or related field, or equivalent experience.
  • At least 4 years of post-education experience.

Responsibilities

  • Develop Advanced Deep Learning Models: Create sophisticated models for recognition and generative tasks tailored to clinical data.
  • Innovate in Clinical Problem-Solving: Apply expertise to solve intricate clinical challenges.
  • Collaborate on Solution Development: Engage with technical peers and clinical experts to refine solutions.
  • Architect Interdisciplinary Solutions: Design solutions that bridge multiple disciplines, determining optimal integration points for machine learning.
  • Research Integration and Experimentation: Stay current with advancements, conduct experiments, and integrate research into the platform.
  • Mentorship and Collaboration: Contribute to the growth of the Machine Learning Team and collaborate with in-house clinicians.

Company Information

  • About Rad AI: Rad AI is transforming healthcare with artificial intelligence. Founded by a radiologist, our AI-driven solutions are revolutionizing radiology—saving time, reducing burnout, and improving patient care. We’ve raised over $140M - including a recent $60M Series C financing round, valuing the company at $525M and led by Transformation Capital, with participation from existing investors including Khosla Ventures and others. Our latest advancements in generative AI are used by thousands of radiologists daily, supporting more than 1/3 of radiology groups and healthcare systems and nearly 50% of all medical imaging in the U.S. Recognized as one of the most promising healthcare AI companies by both CB Insights and AuntMinnie, and by Deloitte as the 19th fastest-growing company in North America.

Skills

Deep Learning
Natural Language Processing
Speech and Language Models
Machine Learning
AI Research
Clinical Data Analysis
Model Development
Research Integration
Team Mentorship

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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