Staff ML Research Scientist – Clinical

October 17

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Rad AI

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Manufacturing • Hardware • Engineering

Rad AI is a company that specializes in custom manufacturing and processing solutions, particularly in the fabrication of components such as casters and material handling devices. They offer a range of products including adjustable casters and OEM parts designed for various industrial applications. Based in Somerset, Michigan, Rad AI is committed to high-quality engineering and manufacturing services.

51 - 200 employees

Founded 2018

🔧 Hardware

💰 $25M Series A on 2021-11

📋 Description

• 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.

🎯 Requirements

• 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.

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