BACKGROUND

RESPONSIBILITIES

• Provides day to day team management and oversight of project execution and service delivery for scientific infrastructure and scientific instrumentation teams. This includes delegating tasks, providing clear direction, and inspiring collaboration and teamwork.
• Accountable for the development and delivery of scientific IT services and capabilities, strategic planning, budgeting and forecasting, and customer outreach and engagement.
• Overseeing personnel management including staff recruitment, hiring, performance management, training, and mentoring.
• Ensures service delivery alignment with program and customer strategic goals by developing strategic roadmaps and tracking KPI's.
• Collaborates with internal and external resources to identify new service offerings to enable and advance scientific research. Develop plans and identifies resources required for implementation and execution.
• Facilitate regular discussions with researchers to understand needs and challenges.
• Provides transparent communications on project timelines, resource requirements, risk management, and status reporting across all organizational and technical boundaries.
• Provides oversight for critical incidents, coordinating with resolution parties and establishing effective communication between stakeholders for post incident reviews and after-action reporting.

REQUIREMENTS

• Masters and 5+ years experience or equivalent in a Science and IT related discipline
• 5+ years experience leading multiple computational science programs
• 5+ years experience in IT project management or development and delivery of scientific IT services
• Demonstrated experience leading multidisciplinary teams supporting operations and maintenance of computational science systems and applications
• Understanding of general workflows for scientific data generation, analysis, and reporting
• Understanding of challenges and approaches for large scale scientific data management
• Experience developing and aligning relationships with diverse stakeholders at all levels from scientists through senior leadership
• Experience providing accurate and regular reports to measure how deliverables align with the organization values and strategic objectives

PREFERENCES

• Education or experience in life or physical sciences
• Experience leading cross-functional teams including scientists and engineers
• Experience leading teams supporting engineering and administration of computational science infrastructure, including HPC and associated components
• Experience providing IT support for scientific instrumentation installation, configuration, operations, and troubleshooting
• Experience supporting large collections (hundreds) of shared applications, many of which are open source
• Familiarity with genomic analyses tools, workflows and data types
• Familiarity with Agile Scrum and/or Kanban methodologies
• Familiarity with principles and practices of ITIL to include incident management, problem management, service request management, change management, and service level management.
• Understanding of the National Institute of Standards and Technology (NIST) cybersecurity framework and Security Assessment and Authorization (SA&A) process

LOCATION

HOW TO APPLY