Platform Engineer for AI Brain Data Science

Stanford University; Palo Alto (CA); On-site; USD 130,000 - 180,000; Full time

Job summary

Stanford University’s Neurology & Neurological Sciences department seeks a Research and Development Scientist and Engineer 1 to build the Sleep Health Data Science Platform. You will design pipelines ingesting EEG, PSG, wearables, imaging, and EHR data, de-identify and standardize, and help deploy an AWS-based platform for research use across Stanford and partner hospitals.

You will become a domain expert in medical data and neurophysiology, tackling challenges from data ingestion to model

Qualifications

• Master's degree or PhD preferred in computer/medical informatics or related field.
• Three+ years building production data pipelines and backend services, with strong Python.
• Experience with cloud infrastructure, preferably AWS, and infrastructure-as-code.
• Experience with workflow orchestration (Airflow, Prefect, Nextflow, Snakemake).
• Experience with healthcare data standards (HL7/FHIR, DICOM, OMOP/OHDSI) and de-identification.

Responsibilities

• Design and develop complex equipment, instruments, or systems for a major project.
• Develop technical solutions to complex engineering/scientific problems requiring independent thinking.
• Create new equipment, materials, or software to advance the field.
• Provide technical direction and perform basic R&D support for programs/projects.
• Contribute to publications and prepare scientific reports.
• Provide mentorship to research staff and students as needed.

Skills

Python

EHR data handling

Data pipelines

Cloud platforms

Airflow

Docker

Git/GitHub Actions

HL7/FHIR/OMOP/OHDSI

HIPAA compliance

Machine learning deployment

Education

Master's degree or PhD in CS / Biomedical Informatics / Electrical Engineering / Data Science

Tools

AWS (S3, Lambda, Batch/ECS, RDS)

Airflow

Docker

GitHub Actions

HL7/FHIR/OMOP/OHDSI

Job description

Stanford University’s Neurology & Neurological Sciences department seeks a Research and Development Scientist and Engineer 1 to build the Sleep Health Data Science Platform. You will design pipelines ingesting EEG, PSG, wearables, imaging, and EHR data, de-identify and standardize, and help deploy an AWS-based platform for research use across Stanford and partner hospitals.

You will become a domain expert in medical data and neurophysiology, tackling challenges from data ingestion to model