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United States
Remote only
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!
Continuity is Rad AI's care coordination and follow-up platform, identifying actionable findings in radiology reports and closing the loop between radiology and downstream care. When a radiologist notes a nodule that needs a six-month recheck, Continuity makes sure that recommendation reaches a real worklist, gets acted on, and gets tracked until the patient actually returns. It is live at large health systems and radiology practices today, improving follow-up completion rates and catching cancers and other serious conditions earlier.
The people who do this work every day are nurse navigators, radiology technologists, and coordinators, and how well Continuity fits into their workflow matters as much to a program's success as the technology behind it.
Patient navigation is its own discipline. Working a list of hundreds of open findings. Knowing which patient needs a letter and which needs a phone call. Following up on the order that never got placed. It takes judgment built over years, and the navigators we work with have it.
We want that expertise at Rad AI. Rad AI's clinical team brings deep radiology experience, and we are adding a navigator with hands-on experience so that the workflows we design, the training we deliver, and the features we prioritize all reflect how this work is actually done. As we bring several major health systems and radiology practices live over the coming months, we want someone who has run a follow-up program working alongside our customers and our product team.
Looking longer term, we want to bring patient follow-up to all radiology organizations. Running a strong follow-up program today generally means funding a dedicated navigator position, which puts it out of reach for many smaller practices and imaging centers. Extending it to them means automating the routine steps so staff time goes to the patients who need it most. Drawing that line well requires someone who has done the work.
Partner with implementation and customer success to design a customer's follow-up program around their staffing, referral patterns, and EHR.
Advise on configuration decisions including worklist setup, letter templates, outreach cadences, and resolution reasons.
Support navigator training and user acceptance testing ahead of each go-live.
Serve as the clinical resource a customer's navigation team can bring questions to during their first months live.
Bring the navigator's perspective to product requirements, design reviews, and prioritization.
Review our follow-up recommendations and categorization alongside our clinical team.
Help us determine which follow-up steps require clinical judgment and which can be handled by software or administrative staff.
Codify what makes a follow-up program successful into training material, playbooks, and benchmarks.
2+ years in radiology follow-up, navigation, or care coordination, as a nurse navigator, radiology technologist, coordinator, or in a comparable role.
Experience designing a follow-up program and leading the staff who run it.
Hands-on experience working a follow-up worklist and tracking patients through to a completed follow-up, including the messy parts: unreachable patients, wrong referring providers, orders that never get placed.
Comfort working across EHRs (Epic, Cerner, Meditech or similar) and an understanding of how orders, results, and patient communication move through a health system.
Willingness to give direct, specific product feedback and advocate for the user's experience.
Self-direction and comfort with ambiguity, this is a small team moving quickly.
Availability during US business hours for customer-facing sessions.
Clinical license such as RN or RT(R), active or previously held.
Experience in a radiology department or imaging center.
Familiarity with radiology follow-up guidelines such as Fleischner, TI-RADS, LI-RADS, Lung-RADS.
Experience managing or training other navigators.
Familiarity with Lung Cancer Screening program requirements and registry reporting such as ACR NRDR.
Experience working for a health IT vendor, or as the customer-side lead on a vendor implementation.
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 and be sure to follow us on LinkedIn to stay up to date!
Location Details:
For roles listed as San Francisco - Onsite:
This role will be based in our San Francisco office and we expect employees to work onsite four days per week. The remaining time may be worked remotely or onsite, depending on team and business needs.
For roles listed as United States - Remote:
This role is open to candidates located anywhere in the United States.
For roles listed as San Francisco - Onsite + United States - Remote:
We will prioritize candidates who can work onsite four days per week in San Francisco, while also considering remote candidates located anywhere in the United States.
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
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 no-reply@ashbyhq.com.
