> Markdown version of [/jobs/ext/2294003-research-scientist-neurology-ai-and-brain-data-science-24-month-fixed-term](https://www.wearedevelopers.com/jobs/ext/2294003-research-scientist-neurology-ai-and-brain-data-science-24-month-fixed-term). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Research Scientist, Neurology AI and Brain Data Science (24-Month Fixed-Term)

- **Company:** Stanford University
- **Location:** Stanford, CA, United States (Remote available)
- **Experience:** Expert
- **Contract:** Temporary contract
- **Skills:** Artificial Intelligence, Health Informatics, Clinical Data Repository, Python (Programming Language), Machine Learning, Pytorch, Electronic Medical Records, Information Technology
- **Published:** August 29, 2026
- **Apply:** https://www.nexxt.com/job.asp?id=3369526906&tx=ZT2423TTI&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54

## About the Role

* PhD preferred, in biomedical informatics, computer science, electrical or biomedical engineering, neuroscience, statistics, epidemiology, or a related field.
 * Master's degree with commensurate research experience will be considered.
 * Five or more years of relevant research experience, including independent leadership of research projects from question formulation through publication.
 * Strong record of peer-reviewed publications applying machine learning or advanced statistical methods to biomedical, physiological, or clinical data.
 * Deep expertise in machine learning and deep learning for time-series or signal data; strong proficiency in Python and modern frameworks such as PyTorch.
 * Experience with EEG, polysomnography, or other neurophysiological data strongly preferred.
 * Experience with large-scale electronic health record data, causal inference, or development and external validation of clinical prediction models.
 * Demonstrated experience contributing to competitive grant proposals; prior success as a named investigator desirable.
 * Experience mentoring or supervising junior scientists, students, or engineers.
 * Working knowledge of translational and regulatory pathways for clinical AI (e.g., FDA Software as a Medical Device) desirable.
 * Excellent scientific writing and presentation skills, and the ability to work effectively across clinical, engineering, and data science teams.

## Description

We are seeking a Research and Development Scientist and Engineer 2 to serve as a senior research scientist leading scientific work across this program. Where our engineering staff build the infrastructure, you will drive the science: framing the questions, designing the studies, developing and validating the models, and publishing the results. You will work with one of the largest curated collections of clinical neurophysiology data assembled anywhere, spanning EEG, polysomnography, wearable monitoring, imaging, and linked electronic health records.

The role is deliberately broad. You will lead your own lines of investigation, guide models from prototype through rigorous validation toward clinical deployment, provide scientific direction to postdoctoral fellows and students, contribute to grant proposals, and help shape the research agenda of the emerging Stanford Neurology AI Center.

This position is offered as a hybrid role (on-site at Stanford's main campus, Center for Academic Medicine - 453 Quarry Rd., three days per week and telecommuting two days per week), subject to operational needs. Please submit a resume and cover letter with your application., * Frequently grasp lightly/fine manipulation, perform desk-based computer tasks, lift/carry/push/pull objects that weigh up to 10 pounds.

 * Occasionally stand/walk, sit, twist/bend/stoop/squat, grasp forcefully.
 * Rarely kneel/crawl, climb (ladders, scaffolds, or other), reach/work above shoulders, use a telephone, writing by hand, sort/file paperwork or parts, operate foot and/or hand controls, lift/carry/push/pull objects that weigh >40 pounds.

_* - Consistent with its obligations under the law, the University will provide reasonable accommodation to any employee with a disability who requires accommodation to perform the essential functions of his or her job._

WORKING CONDITIONS:

 * May be exposed to high voltage electricity, radiation or electromagnetic fields, lasers, noise > 80dB TWA, Allergens/Biohazards/Chemicals /Asbestos, confined spaces, working at heights 10 feet, temperature extremes, heavy metals, unusual work hours or routine overtime and/or inclement weather.
 * May require travel.

WORK STANDARDS:

 * Interpersonal Skills: Demonstrates the ability to work well with Stanford colleagues and clients and with external organizations.
 * Promote Culture of Safety: Demonstrates commitment to personal responsibility and value for safety; communicates safety concerns; uses and promotes safe behaviors based on training and lessons learned.
 * Subject to and expected to comply with all applicable University policies and procedures, including but not limited to the personnel policies and other policies found in the University's Administrative Guide, http://adminguide.stanford.edu .


## Related Videos

- [Introduction to Azure Machine Learning](https://www.wearedevelopers.com/videos/368-introduction-to-azure-machine-learning)
- [AI for decision-making in Tech Recruiting](https://www.wearedevelopers.com/videos/1074-ai-for-decision-making-in-tech-recruiting)
- [Photonic Computing: Programming a New Class of AI Accelerators (incl. Live Coding)](https://www.wearedevelopers.com/videos/100196-photonic-computing-programming-a-new-class-of-ai-accelerators-incl-live-coding)
- [Geometric deep learning for drug discovery](https://www.wearedevelopers.com/videos/264-geometric-deep-learning-for-drug-discovery)
- [Getting Started with Machine Learning](https://www.wearedevelopers.com/videos/260-getting-started-with-machine-learning)
- [Serverless deployment of (large) NLP models ](https://www.wearedevelopers.com/videos/158-serverless-deployment-of-large-nlp-models)

## Related Articles

- [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)
- [Are Brain-Computer Interfaces Good or Bad?](https://www.wearedevelopers.com/magazine/367-are-brain-computer-interfaces-good-or-bad)
- [How to start an AI project for a good cause and boost your career](https://www.wearedevelopers.com/magazine/15-how-to-start-an-ai-project-for-a-good-cause-and-boost-your-career)
- [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production)
- [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts)
- [The Fastest-Growing Tech Sectors to Look Out for in 2025](https://www.wearedevelopers.com/magazine/373-the-fastest-growing-tech-sectors-to-look-out-for-in-2025)