Staff ML Research Scientist (Clinical)

We are seeking a Staff Machine Learning Research Scientist to help define and drive the next generation of applied research in NLP and clinical AI at Rad AI.

The ideal candidate brings deep experience in machine learning and medical AI, and is comfortable with medical literature, clinical terminology, and the nuanced decision-making criteria used by clinicians.

What You’ll 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 closely with radiologists and clinical experts to understand diagnostic reasoning patterns, report structures, and clinical decision‑making criteria—then 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 We’re Looking For

• MS or Ph D (or equivalent research experience) in Computer Science, Electrical Engineering, Computational Linguistics, Biomedical Informatics, or a 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 reasoning —you 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 clinicians —you’ve 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 architectures—particularly transformers and large language models.
• Strong engineering skills with modern ML frameworks such as Py Torch.
• Demonstrated ability to take ML models from research to production in complex, data‑rich environments.
• Exceptional written and verbal communication skills—able 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.

Benefits

• Comprehensive Medical, Dental, Vision & Life insurance
• HSA (with employer match), FSA, & DCFSA
• 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

Compensation

$200K – $230K • Offers Equity

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.

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