Staff ML Research Scientist (Clinical)

About Rad AI

At Rad AI were on a mission to transform healthcare with artificial intelligence. Founded by a radiologist our AI-driven solutions are revolutionizing radiologysaving 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 othersall 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 CNBCs Disruptor 50 list highlighting the innovation and momentum behind our mission.

If youre ready to shape the future of healthcare wed love to have you on our team!

Why Join Us

Were looking for a Staff Machine Learning Research Scientist to help define and drive Rad AIs next generation of applied research in NLP and clinical AI.

The ideal candidate brings deep experience in cutting-edge ML techniques (Transformers LLMs Agentic systems) and their application to the healthcare domain. You should be comfortable with medical literature clinical terminology and the nuanced decision-making criteria doctors use every day.

Youll collaborate closely with clinicians engineers and product leaders to translate foundational research into production-scale systems that improve outcomes for doctors and patients alike.

What Youll Do:

• Lead high-impact ML research projects from concept to deployment focused on clinical NLP and reasoning systems.

• Define the technical direction of research initiatives within your product area; identifying opportunities to apply state-of-the-art models to real-world radiology workflows.

• Collaborate deeply with radiologists and clinical experts to understand diagnostic reasoning patterns report structures and clinical decision-making criteriathen encode that understanding into robust ML systems.

• Architect and evaluate models that integrate structured and unstructured medical data (clinical notes diagnostic criteria patient context) to enhance diagnostic reasoning and reporting accuracy.

• Build NLP systems that can parse reason over and generate clinically accurate content using medical terminology and ontologies.

• Mentor and guide other researchers in experimental design model reproducibility and technical communication.

• Advance research infrastructure by contributing to data pipelines training frameworks and model evaluation tooling.

What Were Looking For:

• MS or PhD (or equivalent research experience) in Computer Science Electrical Engineering Computational Linguistics Biomedical Informatics or related quantitative field.

• 6 years of applied ML research experience (industry or academia).

• Proven experience building NLP or ML systems for healthcare clinical documentation or biomedical applications You should have shipped models that work with clinical text radiology reports EHRs medical literature or similar medical data.

• Demonstrated fluency with medical terminology and clinical reasoningyou should be able to read and understand radiology reports parse diagnostic criteria and grasp how radiologists formulate clinical decisions.

• Track record of successful collaboration with cliniciansyouve worked directly with physicians radiologists or clinical researchers to understand requirements validate models and iterate based on medical domain expertise.

• Deep expertise in NLP and modern deep learning architecturesparticularly transformers and large language models.

• Strong engineering skills with modern ML frameworks such as PyTorch.

• Demonstrated ability to take ML models from research to production in complex data-rich environments.

• Exceptional written and verbal communication skillsable to explain complex technical ideas to cross-functional partners and synthesize clinical domain knowledge into research directions.

Preferred Qualifications

• Experience with medical named entity recognition clinical text classification information extraction report generation or diagnostic reasoning systems.

• Prior work modeling clinical decision-making logic differential diagnosis or impression synthesis.

• Familiarity with medical data standards (DICOM metadata HL7/FHIR) and healthcare NLP corpora.

• Clinical background (MD DO) or formal training in medical informatics computational biology or health systems.

• Experience working specifically in radiology diagnostic imaging workflows or medical reporting systems.

• Track record of technical mentorship and contribution to broader research culture.

• Experience in regulated or privacy-sensitive domains (HIPAA FDA etc.).

• Publications in healthcare AI clinical NLP or biomedical informatics venues.

Why This Matters:

Radiologists are the invisible backbone of modern medicine. Every diagnosis every surgery every treatment plan begins with their interpretations. Yet theyre often overwhelmed by cognitive load repetitive tasks and administrative overhead.

At Rad AI were using ML to change thatbuilding intelligent systems that understand medical context streamline documentation and amplify human expertise.

Youve already seen how AI can transform healthcare. Now help us push it further.

Join us in shaping how AI supports the next generation of medical professionals.

We welcome applicants from across the United States with a strong preference for this role to be based in our San Francisco office.

Join our world-class team as we build and deploy AI solutions that empower physicians and transform patient caremaking 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 youre passionate about driving innovation and delivering impactful healthcare solutions wed love to hear from you!

To learn more about what its like to work at Rad AI visit 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 @ or

Required Experience:

Staff IC