Senior Applied Research Scientist, Multiscale Biology
NVIDIA
Open Source
Staff ML Research Scientist – Clinical
Rad AI
full-time
Posted on:
Location Type: Remote
Location: Remote • 🇺🇸 United States
Visit company websiteSalary
💰 $200,000 - $230,000 per year
Job Level
Lead
Tech Stack
PyTorch
About the role
- 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
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
machine learningnatural language processingdeep learningtransformerslarge language modelsmodel evaluationdata pipelinestraining frameworksclinical NLPexperimental design
Soft skills
mentoringcollaborationtechnical communicationproblem-solvingcritical thinkingadaptabilityinterpersonal skillssynthesis of knowledgevalidation of modelsunderstanding of clinical decision-making
Certifications
MS in Computer SciencePhD in Computer SciencePhD in Electrical EngineeringPhD in Computational LinguisticsPhD in Biomedical Informatics
