Research Scientist, Workflows / R&D Staff Member

Oak Ridge National Laboratory


Oak Ridge National Laboratory is the largest US Department of Energy science and energy laboratory, conducting basic and applied research to deliver transformative solutions to compelling problems in energy and security.

The Data Lifecycle and Scalable Workflows Group at Oak Ridge National Laboratory (ORNL) is seeking a self-motivated and innovative research professional with expertise in data and workflows. In this role, you are expected to research and develop solutions to address challenges in deploying scientific workflows on our Leadership Computing infrastructure, and across ORNL’s computational and experimental facilities.

Our Team

Our mission is to empower scientists to succeed by building and delivering tools, infrastructure, processes, and best practices for organizing their data and workflows, and making them universally accessible, understandable, findable, shareable, and reproducible. We are an exciting and creative group of research and technical professionals that have a passion for data management and enabling science across domains.

Our Organization

This position is part of the Advanced Technologies Section within the National Center for Computational Sciences (NCCS) Division. The Advanced Technologies Section offers scientific, technical, operational, and thought leadership by developing, hardening, and deploying solutions for compute and data intensive computing environments. The NCCS provides state-of-the-art computational and data science infrastructure, coupled with dedicated technical and scientific professionals, to accelerate scientific discovery and engineering advances across a broad range of disciplines. NCCS hosts the Oak Ridge Leadership Computing Facility, one of DOE’s National User Facilities. NCCS is currently deploying the U.S.’s first Exascale system.

Major Duties/Responsibilities:

  • Conceive, lead, and manage projects related to workflows research and development.
  • Contribute to defining and implementing the vision for scientific computing and data ecosystems.
  • Collaborate with internal and external researchers on applying large scale distributed computing techniques to scientific applications.
  • Assist designing a FAIR workflows repository.
  • Present research results to sponsors, peer reviewers, and others and at national and international technical society meetings.
  • Improve workflow awareness within ORNL and the DOE environment.
  • Assist organizing virtual international workflows community events.
  • Interact with industry and government sponsors in pursuit of new and additional research funding.
  • Develop research proposals to internal and external funding agencies that solicit new and ongoing work.
  • Publish original work in technical reports, peer reviewed journals, and professional society magazines.
  • Mentor junior staff and students.

Basic Qualifications:

  • Ph.D. in computer science or engineering or related field, with a minimum of 2 years of work experience.
  • Demonstrated experience with machine orchestration methods (scientific workflows) and HPC.

Preferred Qualifications:

  • Strong expertise in systems and software development.
  • Publication and presentation track record that demonstrates significant contributions to the scientific community.
  • Advanced experience with serverless/edge computing.
  • Advanced knowledge of modeling and simulation, and benchmarking of parallel and distributed computing systems.
  • Familiarity with the FAIR data and research software principles.
  • Ability to learn new technologies.
  • Resourcefulness, troubleshooting aptitude and attention to detail.
  • Exceptional communication skills, ability to communicate effectively with internal and external collaborators and ability to work in a team environment.
  • Motivated self-starter with the ability to work independently and to participate creatively in collaborative teams across the laboratory.
  • Ability to function well in a fast-paced research environment, set priorities to accomplish multiple tasks within deadlines, and adapt to ever changing needs.
  • Demonstrated ability to function as a prime or lead technical contact on projects or proposals
  • Demonstrated ability to function independently on a technically complex and diverse set of projects.
  • Demonstrated ability to manage small to medium sized complex technical programs.
  • Experience mentoring students, postdocs and early career staff.
  • Ability to develop new research proposals.
  Application Deadline
May 31, 2022

Oak Ridge, TN, USA

  Employment Type