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Group Leader - Workflow and Ecosystems Services

Job in Oak Ridge, Anderson County, Tennessee, 37830, USA
Listing for: UT-Battelle
Full Time position
Listed on 2026-10-15
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Data Scientist
Salary/Wage Range or Industry Benchmark: 190000 - 270000 USD Yearly USD 190000.00 270000.00 YEAR
Job Description & How to Apply Below

Oak Ridge National Laboratory (ORNL) is seeking a Group Leader for the Workflow and Ecosystem Services (WES) Research and Development group in the National Center for Computational Sciences (NCCS). The group creates and deploys workflow, data, and AI-agent technologies that connect leadership-class computing with experimental and observational science. Its primary goal is to improve the efficiency, dependability, and trustworthiness of scientific workflows, from traditional HPC and data pipelines to agentic workflows in which AI agents plan, execute, monitor, and adapt computational and experimental campaigns, running in distributed large-scale advanced computing environments.

The group also delivers AI-ready and FAIR scientific data, together with the orchestration, provenance, and benchmarking methods that make agentic and traditional workflows reliable  group’s main objective is to empower scientists and researchers by enabling them to effectively apply leadership-class and distributed computing resources offered by flagship DOE computational and observational user facilities.

Requisition

Overview

Oak Ridge National Laboratory (ORNL) is seeking a Group Leader for the Workflow and Ecosystem Services (WES) Research and Development group in the National Center for Computational Sciences (NCCS). The group creates and deploys workflow, data, and AI-agent technologies that connect leadership-class computing with experimental and observational science. Its primary goal is to improve the efficiency, dependability, and trustworthiness of scientific workflows, from traditional HPC and data pipelines to agentic workflows in which AI agents plan, execute, monitor, and adapt computational and experimental campaigns, running in distributed large-scale advanced computing environments.

The group also delivers AI-ready and FAIR scientific data, together with the orchestration, provenance, and benchmarking methods that make agentic and traditional workflows reliable  group’s main objective is to empower scientists and researchers by enabling them to effectively apply leadership-class and distributed computing resources offered by flagship DOE computational and observational user facilities.

The WES group is in NCCS’s Advanced Technologies Section which offers scientific, technical, operational, and thought leadership by developing, hardening, and deploying solutions for compute and data intensive computing environments. The section's staff develops and deploys emerging large-scale data science, AI, and agentic methods for scientific user programs and enables innovation through operational data analytics. Staff members facilitate data stewardship and enriched scalable data access capabilities and develop end-to-end scientific workflow technologies for user programs.

They identify technical gaps in the computing and data sciences ecosystems, so they can implement solutions to enable scientific discovery. NCCS has a long-standing history in High-Performance Computing (HPC) operating leadership-class systems in its Oak Ridge Leadership Computing Facility (OLCF), deploying the world’s first exascale supercomputer system (Frontier), and deploying some of the largest parallel file systems in the world.

As a U.S. Department of Energy (DOE) Office of Science national laboratory, ORNL has an outstanding 80-year history of solving the nation’s biggest problems. These elements are essential for enabling the execution of ORNL’s broader mission to accelerate scientific discoveries and their translation into energy, environment, and security solutions for the nation.

Major Duties/Responsibilities
  • Develop a vision and implement a cohesive group strategy for offering innovative workflow, data, and agentic AI ecosystem…
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