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Senior Director of Scientific Computing and Research Infrastructure

Job in Madison, Dane County, Wisconsin, 53774, USA
Listing for: UW School of Medicine and Public Health
Full Time position
Listed on 2026-10-16
Job specializations:
  • IT/Tech
    Cloud Computing: Infrastructure & Operations, Data Science Manager
Salary/Wage Range or Industry Benchmark: 140000 - 210000 USD Yearly USD 140000.00 210000.00 YEAR
Job Description & How to Apply Below

Current Employees:
If you are currently employed at any of the Universities of Wisconsin, log in to Workday to apply through the internal application process.

Job Category

Limited

Employment Type

Regular

Job Profile

Research Services Director

Job Summary

The University of Wisconsin School of Medicine and Public Health (SMPH) is looking for a Senior Director of Scientific Computing and Research Infrastructure to provide strategic leadership, operational oversight, and technical direction for the SMPH’s scientific computing ecosystem, including high-performance computing, on-premises and cloud computing platforms, research data storage, scientific software environments, and advanced cyberinfrastructure services for research. This position leads the design, deployment, governance, security, and continuous improvement of computing resources that support biomedical, clinical, translational, population health, and data-intensive research.

The Director partners closely with research faculty, data science and informatics programs, core facilities, compliance offices, Information Technology, Cybersecurity and external technology partners to ensure that computing capabilities accelerate scientific discovery while maintaining regulatory compliance, security, reliability, and cost-effectiveness. This position is responsible for developing a sustainable strategy that balances on-premises infrastructure with cloud services to support current and emerging computational research needs across the enterprise.

Essential

Responsibilities
  • Develop and execute a multi-year strategy and roadmap for scientific computing, research data infrastructure, cloud services, and emerging technologies aligned with institutional research priorities and growth.
  • Advise institutional and research leadership on advanced and emerging technologies, including machine learning and AI for research, omics, computational biology and large-scale data science.
  • Direct the architecture, operation, capacity planning, and lifecycle management of high-performance computing infrastructure, including clusters, CPU/GPU resources, virtualization, containerization, and scientific software environments.
  • Lead enterprise research cloud strategy and hybrid computing architectures across on-premises and cloud platforms, establishing standards for provisioning, governance, security, performance, and cost optimization.
  • Direct research data infrastructure and lifecycle management, including high-performance storage, archival, backup, disaster recovery, data sharing, and long-term stewardship consistent with FAIR principles and funding agency requirements.
  • Establish governance and investment frameworks for research cyberinfrastructure, ensuring computing, cloud, storage, and data investments are scalable, sustainable, and aligned with institutional priorities and research needs.
  • In working with cybersecurity, ensure security, privacy, compliance, and risk management for research computing environments, partnering with institutional stakeholders to address HIPAA, NIH, FDA, NIST, FISMA and other applicable requirements.
  • Build strategic partnerships with investigators, research centers, departments, and core facilities, providing consultation and enabling advanced computational approaches for federally funded, industry-sponsored, and other complex research initiatives.
  • Ensure high-quality, responsive research computing services, including reliable resource delivery, technical consultation, training, user support, adoption of advanced computational methods, and measurement of utilization and return on investment.
  • Recruit, develop, and lead a high-performing scientific computing team, establishing performance and professional development goals while fostering an innovative, collaborative and service-oriented culture.

This position may require some work to be performed in-person, onsite, at a designated campus work location. Some work may be performed remotely, at an offsite, non-campus work location.

Key Job Responsibilities
  • Supervises research operations and personnel to ensure compliance and efficiencies
  • Formulates and implements program strategies, plans, and goals for a research unit
  • Develops effective policies and institutional agreements in alignment with university goals
  • Serves as the principal liaison between the program, university leadership, and outside entities
  • Develops and executes budgets and costing strategies for products/services in compliance with university and state policies
  • Builds a…
Position Requirements
10+ Years work experience
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