Washington University in St. Louis

HQ
Saint Louis
Total Offices: 2
19,300 Total Employees
Year Founded: 1853

Teams at Washington University in St. Louis

Artificial Intelligence • Edtech • Information Technology • Biotech
Obtains insurance and referral information, registers and schedules patients remotely, and provides appointment reminders. Explains billing processes, financial assistance options, and insurance questions to patients, staff, and third-party payers. Processes physician referrals, updates schedules, maintains basic account information, and makes provider template changes based on physician input. Requires a high school diploma or equivalent and three years of relevant experience.
Artificial Intelligence • Edtech • Information Technology • Biotech
Builds and maintains scalable data pipelines and cloud infrastructure supporting an AI biomedical research platform. Responsibilities include ingesting, harmonizing, validating, and documenting multimodal neurodegeneration datasets; managing cloud storage, compute, permissions, and costs; implementing de-identification and data governance workflows; supporting research data repositories and AI/ML teams; and maintaining data lineage, catalogs, and technical documentation. The role requires strong Python and SQL skills, software engineering discipline, cloud experience, and neurodegeneration research data expertise.
Artificial Intelligence • Edtech • Information Technology • Biotech
Owns the C-BRAIN AI tool portfolio through product backlog management, milestone tracking, UAT coordination, vendor and contractor oversight, and technical program execution. Coordinates data engineering pipelines, infrastructure, data use agreements, compliance reviews, and external pharmaceutical, biotech, academic, and technology partners. Supports CTO working groups, technical reporting, consortium engagement, and stakeholder communications. Requires five years of progressive product or technical program management experience, external partner management, contract lifecycle expertise, and experience working with AI/ML or data engineering teams.