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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Research Software Engineer, Brain Data Science... - **Company:** Stanford University - **Location:** Stanford, CA, United States - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Airflow, Amazon Web Services, Amazon S3, Health Informatics, Clinical Data Repository, Cloud Computing, Continuous Integration, Dicom, Github, Identity and Access Management, Python (Programming Language), Machine Learning, Operational Databases, Fast Healthcare Interoperability Resources, Electronic Medical Records, Backend, Git, Containerization, Information Technology, Health Level Seven International, Machine Learning Operations, Software Version Control, Docker - **Published:** August 16, 2026 - **Apply:** https://www.juju.com/job/00000000gnafah ## About the Role + Master's degree or PhD preferred, in Computer Science, Biomedical Informatics, Electrical Engineering, Data Science, or a related technical field. + Experience working with electronic health record (EHR) data strongly preferred, including extraction, structuring, and analysis of clinical data from systems such as Epic, and familiarity with clinical data warehouses. + Three or more years building production data pipelines and backend services, with strong proficiency in Python. + Experience with cloud infrastructure, preferably AWS (S3, Lambda, Batch/ECS, RDS, IAM), and with infrastructure-as-code. + Experience with workflow orchestration (Airflow, Prefect, Nextflow, Snakemake, or similar), containerization (Docker), and version control and CI/CD (Git, GitHub Actions). + Experience with healthcare data standards and formats - EDF/EDF+, DICOM, HL7/FHIR, OMOP/OHDSI - and with de-identification of protected health information. + Experience working with large physiological time-series data (EEG, PSG, ECG, actigraphy, or wearable sensor streams) strongly preferred. + Familiarity with HIPAA, IRB, and data use agreement requirements governing human subjects research data. + Experience deploying machine learning models into production or clinical settings, including model serving, monitoring, and EHR integration, desirable. + Demonstrated ability to work independently, scope ambiguous problems, and deliver reliable systems. + Strong written and verbal communication skills, and genuine interest in becoming a domain expert in clinical neurophysiology and medical data. PHYSICAL REQUIREMENTS*: + 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._, + 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. ## Description We are seeking a Research and Development Scientist and Engineer 1 to serve as a core software engineer for the Sleep Health Data Science Platform, a major component of our Brain Data Science Platform. This is a hands-on engineering role at the center of a rapidly growing clinical research data ecosystem. You will build the pipelines that bring in EEG, polysomnography, wearable, imaging, and EHR data from Stanford and partner hospitals; make that data safe and usable through automated de-identification and standardization; and help build the AWS-based platform that turns it into a research resource for investigators across Stanford and beyond. You will also help move AI models out of the lab and into clinical use, with particular emphasis on AI-assisted EEG interpretation. ## Related Videos - [ZEISS & Microsoft - Building the Next Generation Medical Ecosystem in the Cloud](https://www.wearedevelopers.com/videos/424-zeiss-microsoft-building-the-next-generation-medical-ecosystem-in-the-cloud) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [The Neuroscience of Engineering Culture: Why Your Team’s Brains Are Crashing](https://www.wearedevelopers.com/videos/2049-the-neuroscience-of-engineering-culture-why-your-team-s-brains-are-crashing) - [Docker build without Docker](https://www.wearedevelopers.com/videos/100114-docker-build-without-docker) - [Git for Code Reviews](https://www.wearedevelopers.com/videos/429-git-for-code-reviews) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Are Brain-Computer Interfaces Good or Bad?](https://www.wearedevelopers.com/magazine/367-are-brain-computer-interfaces-good-or-bad) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Top-Paying Tech Jobs (with Salaries)](https://www.wearedevelopers.com/magazine/372-top-paying-tech-jobs-with-salaries) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market)