Rad AI · 2 months ago
Staff ML Research Scientist (Clinical)
United States
Full-time
Remote
Senior Level, Lead/Staff
$200K/yr - $230K/yr
6+ years expRad AI is on a mission to transform healthcare with artificial intelligence, revolutionizing radiology through AI-driven solutions. The Staff ML Research Scientist will lead high-impact ML research projects focused on clinical NLP and reasoning systems, collaborating with clinicians and engineers to improve outcomes for doctors and patients.
Artificial Intelligence (AI)Enterprise SoftwareHealth Care
Responsibilities
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 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
Qualification
Required
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 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 PyTorch
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
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
401(k)
11 Paid Company Holidays
Location Flexibility (Remote-first company!)
Flexible PTO policy
Annual company-wide offsite
Periodic team offsites
Annual equipment stipend
Company
Rad AI
Rad AI develops software that uses AI to automate radiology report writing, aiming to enhance accuracy and reduce radiologist burnout.
51-200 employees
H1B Sponsorship
Rad AI has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (14)
2024 (7)
2023 (3)
2022 (6)
2021 (2)
Funding
Current Stage
Growth StageTotal Funding
$151MKey Investors
Transformation CapitalKhosla VenturesArtis Ventures
2025-05-20Series C· $8M
2025-01-25Series C· $60M
2024-05-07Series B· $50M
Leadership Team
Doktor Gurson
Co-founder & CEO
Barrett Dwyer
CFO
Recent News
2025-12-05
2025-12-01
2025-11-20
Company data provided by crunchbase