Brain Data Platform Engineer – AI & EEG Research

Stanfordlivetickets; Palo Alto (CA); On-site; USD 120,000 - 180,000; Full time

Job summary

Stanford University School of Medicine seeks a Research and Development Scientist and Engineer 1 to serve as a core software engineer for the Sleep Health Data Science Platform. You will build data pipelines ingesting EEG, PSG, wearables, imaging, and EHR data from Stanford and partner hospitals, then de-identify and standardize data for research use.

This hands-on role requires growing domain expertise in medical data and deploying AI models from lab to clinical settings, with emphasis on EEG

Qualifications

• Master's degree or PhD preferred in CS, Biomedical Informatics, Electrical Engineering, Data Science, or related field.
• Experience with EHR data extraction, structuring and analysis (Epic or similar) is highly preferred.
• Three+ years building production data pipelines and backend services, with strong Python proficiency.
• Experience with cloud infrastructure (AWS) and infrastructure-as-code.
• Experience with workflow orchestration (Airflow, Prefect, Nextflow, Snakemake) and containerization (Docker).
• Familiarity with healthcare data standards (HL7/FHIR, DICOM) and de-identification of protected health information.
• Experience deploying ML models into production/clinical settings with monitoring and EHR integration.

Responsibilities

• Build pipelines that ingest EEG, PSG, wearable, imaging, and EHR data from Stanford and partner hospitals.
• Ensure data safety and usability via de-identification and standardization.
• Help develop an AWS-based platform turning data into a research resource for investigators.

Skills

Python

Data pipelines

Cloud infra AWS

Airflow

Docker

CI/CD GitHub Actions

EHR data handling

HIPAA compliance

Time-series data

Model deployment

Education

Master's or PhD in CS/ Biomedical Informatics/ EE/ Data Science

Tools

AWS

Airflow

Docker

GitHub Actions

HL7/FHIR

OHDSI/OMOP

Job description

Stanford University School of Medicine seeks a Research and Development Scientist and Engineer 1 to serve as a core software engineer for the Sleep Health Data Science Platform. You will build data pipelines ingesting EEG, PSG, wearables, imaging, and EHR data from Stanford and partner hospitals, then de-identify and standardize data for research use.

This hands-on role requires growing domain expertise in medical data and deploying AI models from lab to clinical settings, with emphasis on EEG