Lead Research Scientist, Neurology AI & Brain Data

Abundance Network; United States; Hybrid; USD 140,000 - 200,000; Full time

Job summary

The Department of Neurology & Neurological Sciences at Stanford University School of Medicine is advancing AI‑driven brain health research, deploying models that interpret EEG, polysomnography, wearables, imaging, and linked electronic health records.

We seek a Research and Development Scientist and Engineer 2 to lead scientific work, frame research questions, design studies, develop and validate models, publish results, and guide postdocs toward clinical deployment in a hybrid

Qualifications

• PhD preferred in biomedical informatics, computer science, electrical/biomedical engineering, neuroscience, statistics, epidemiology, or related field.
• Five+ years of research experience with independent leadership of projects.
• Strong record of peer‑reviewed publications applying ML or advanced statistics to biomedical data.
• Deep expertise in ML/DL for time-series or signal data; Python and PyTorch proficiency.
• Experience with EEG, polysomnography, or other neurophysiological data preferred.
• Experience with large-scale electronic health record data, causal inference, or clinical model development/validation.
• Contributions to grant proposals; named investigator experience desirable.
• Mentoring or supervising junior scientists or engineers.
• Familiarity with translational/regulatory pathways for clinical AI desirable.
• Excellent scientific writing and cross‑functional collaboration skills.

Responsibilities

• Lead scientific work across the program: framing questions, designing studies, developing and validating models, and publishing results.
• Guide models from prototype to rigorous validation toward clinical deployment.
• Provide scientific direction to postdocs and students; contribute to grant proposals.
• Help shape the research agenda of the Stanford Neurology AI Center.

Skills

Machine learning for time-series

Python & PyTorch

Mentoring or supervising

Scientific writing & presentation

Translational/clinical AI knowledge

Grant proposal experience

Cross-disciplinary collaboration

Experience with EEG/neurophysiology

Five+ years research leadership

Education

PhD in relevant field

Master's degree with research experience

Bachelor’s degree with experience

Job description

The Department of Neurology & Neurological Sciences at Stanford University School of Medicine is advancing AI‑driven brain health research, deploying models that interpret EEG, polysomnography, wearables, imaging, and linked electronic health records.

We seek a Research and Development Scientist and Engineer 2 to lead scientific work, frame research questions, design studies, develop and validate models, publish results, and guide postdocs toward clinical deployment in a hybrid