Washington University in St. Louis

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

Jobs at Washington University in St. Louis

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Artificial Intelligence • Edtech • Information Technology • Biotech
Oversees research administration for complex radiology divisions, including grant and contract submissions, post-award activities, budgets, payroll, purchasing, personnel administration, compliance, and operational procedures. Supervises and trains staff, supports hiring and salary planning, monitors research policies, maintains records, coordinates with internal and external partners, and advises leadership on process improvements and special projects.
Artificial Intelligence • Edtech • Information Technology • Biotech
Manages complex sponsored research projects across pre-award and post-award stages. Responsibilities include proposal preparation, grant budgeting, compliance, subaward coordination, award monitoring, payroll sourcing, financial reporting, account reconciliation, grant closeout, and research center administration. Supports faculty and senior leadership, maintains grant databases, coordinates regulatory documentation, and manages communications, reporting, invoices, and center events.
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
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.