Teams at Washington University in St. Louis

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.

Obtains insurance and referral information, registers and schedules patients remotely, processes physician referrals, manages appointment reminders and scheduling updates, and explains billing and financial assistance options. Answers patient and payer inquiries, supports account maintenance, updates provider scheduling templates, and coordinates with physicians and clinical staff to resolve moderately complex scheduling and billing issues.

Lead a consortium advancing AI-driven neurodegeneration research: set strategy, build partnerships, manage multidisciplinary executive team, oversee product development and deployment, secure funding, ensure ethical AI and scientific integrity, and scale the platform to broader biomedical domains.