Lead AI Neurology Scientist: Brain Data & Signals

Stanfordlivetickets; Palo Alto (CA); Hybrid; USD 150,000 - 190,000; Full time

Job summary

Stanford University in Palo Alto seeks a Research and Development Scientist and Engineer 2 to lead science across a major AI-brain health program. You will frame questions, design studies, validate models, and guide researchers toward clinical deployment, collaborating with clinicians, engineers and data scientists.

You will work with a large, diverse neurophysiology data repository and contribute to grant proposals while mentoring junior scientists.

Qualifications

• PhD preferred in biomedical informatics, CS, electrical/biomedical engineering, neuroscience, statistics or related field.
• 5+ years of independent research leadership and publications.
• Strong ML/DL expertise on time-series or biomedical data.
• Proficiency in Python and PyTorch.
• Experience with EEG, polysomnography, or neurophysiological data preferred.
• Experience with large-scale EHR data, causal inference, or clinical prediction models.
• Grant proposal experience; mentoring junior scientists.
• Excellent scientific writing and cross-functional collaboration.

Responsibilities

• Lead scientific work across the program, framing questions and designing studies.
• Develop and validate ML/DL models for clinical brain health data.
• Publish results and guide postdocs and students.
• Contribute to grant proposals and help shape the research agenda.
• Collaborate with clinicians, engineers and data scientists toward clinical deployment.

Skills

Machine learning

Deep learning

Python

PyTorch

Leadership

Mentoring

Scientific writing

Education

PhD preferred

Master's degree considered

Job description

Stanford University in Palo Alto seeks a Research and Development Scientist and Engineer 2 to lead science across a major AI-brain health program. You will frame questions, design studies, validate models, and guide researchers toward clinical deployment, collaborating with clinicians, engineers and data scientists.

You will work with a large, diverse neurophysiology data repository and contribute to grant proposals while mentoring junior scientists.