Stellenbeschreibung:

About Rad AI

At Rad AI, we’re on a mission to transform healthcare with artificial intelligence. Founded by a radiologist, our AI-driven solutions are revolutionizing radiology—saving time, reducing burnout, and improving patient care. With one of the largest proprietary radiology report datasets in the world, our AI has helped uncover hundreds of new cancer diagnoses and reduced error rates in tens of millions of radiology reports by nearly 50%.

Rad AI has secured over $140M in funding, including a recently oversubscribed Series C ($68M round) led by Transformation Capital, bringing our valuation to $528M. Our investors include Khosla Ventures, World Innovation Lab, Gradient Ventures, Cone Health Ventures, and others—all backing our mission to empower physicians with cutting-edge AI.

Our latest advancements in generative AI are used by thousands of radiologists daily, supporting more than one-third of radiology groups and healthcare systems and 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 are building AI-powered solutions that make a real impact. Most recently, Rad AI was named to CNBC’s Disruptor 50 list, highlighting the innovation and momentum behind our mission.

If you’re ready to shape the future of healthcare, we’d love to have you on our team!

Why Join Us:

We're looking for a Radiology Clinical Support Specialist at a pivotal moment in Rad AI's growth. This role bridges the gap between our clinical team and customers, ensuring radiologists get maximum value from our AI-powered reporting solutions. You'll work directly with our Chief Medical Information Officers (CMIOs) to deliver support to our rapidly growing physician customer base.

This is a unique opportunity for a Radiology Physician Assistant (PA) or Nurse Practitioner (NP), Radiologist Assistant (RA), or Radiology Practitioner Assistant (RPA) who wants to impact healthcare technology at scale combining your clinical expertise with cutting-edge AI to improve radiology workflows nationwide.

This role reports to our Clinical Operations leadership team with close collaboration with our CMIOs.

What You'll Be Doing:

Customer Success & Training

• Provide Tier 2 & 3 clinical support for radiologists using Rad AI Reporting, including advanced features like Omnibox, nested pick lists, and template interactions

• Conduct virtual one-on-one training sessions with radiologists during go-lives and production testing

• Demonstrate AI features to radiologist groups, helping them understand how to maximize time savings

Clinical-Technical Bridge

• Fix and optimize reporting templates when issues arise

• Translate radiologist workflow needs into actionable product feedback

• Support feature request conversations by understanding clinical requirements and feasibility

Go-Live Support

• Provide intensive support during customer go-lives, including real-time chat/virtual presence

• Troubleshoot workflow issues that sit at the intersection of clinical practice and technology

• Partner with customer success teams to ensure smooth implementations

Cross-Functional Collaboration

• Work directly with CMIOs to prioritize customer needs and allocate support resources

• Interface with product and engineering teams to communicate clinical requirements and suggest on upcoming product features based on clinical feedback

• Create and maintain clinical documentation and training materials

Who We're Looking For:

Required Qualifications:

• Active licensure as a Physician Assistant (PA-C), Nurse Practitioner (NP), Registered Radiologist Assistant (RRA/RA-ARRT), or Radiology Practitioner Assistant (RPA/CBRPA) with radiology clinical experience. We also encourage individuals with other advanced practice credentials and a strong radiology background (such as CNS or Certified Radiology Nurse) to apply.

• 3+ years of clinical experience in radiology departments or imaging centers

• Experience with radiology reporting workflows and PACS

• Strong understanding of radiology terminology, procedures, and report structures

• Excellent communication skills with ability to train and support physicians

• Comfort with technology and ability to learn new software quickly

Preferred Qualifications:

• Experience with voice recognition reporting systems (PowerScribe, Fluency, M*Modal)

• Previous experience in healthcare technology implementation or support

• Background in clinical training or education

• Experience with template creation and optimization in reporting systems

• Familiarity with HL7 interfaces and radiology IT infrastructure

Key Attributes:

• Patient and empathetic approach to customer support

• Ability to handle ambiguity and solve complex problems independently

• Strong organizational skills to manage multiple customer relationships

• Bias for action with ability to prioritize urgent issues

• Collaborative mindset with ability to work across technical and clinical teams

Join our world-class team as we build and deploy AI solutions that empower physicians and transform patient care—making a meaningful impact on millions of lives. Driven by our mission,  we prioritize transparency, inclusion, and close collaboration, bringing together exceptional people to revolutionize healthcare. If you're passionate about driving innovation and delivering impactful healthcare solutions, we'd love to hear from you!

To learn more about what it's like to work at Rad AI, visit https://www.radai.com/life-at-rad-ai

For US-Based Full-Time Roles, Rad AI offers a variety of benefits, including:

• Comprehensive Medical, Dental, Vision & Life insurance

• HSA (with employer match), FSA, & DCFSA 

• 401(k)

• 11 Paid Company Holidays

• Location Flexibility (Remote-first company!)

• Flexible PTO policy

• Annual company-wide offsite

• Periodic team offsites

• Annual equipment stipend

• For roles based outside the US, your recruiter can share more details

At Rad AI, we value diversity and provide equal employment opportunities (EEO) to all employees and applicants without regard to race, color, religion, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance.

Please be vigilant regarding job scams. We advise all candidates to apply directly through our official careers page. Our recruiters will use email addresses with the domain @radai.com or [email protected].