B

Brookhaven Lab

National lab for basic, applied sciences

ISSD Lead Administrator

Full-TimeUpdated on 10/23/2026
$91.6k - $125k/yr
Senior
Bachelor's
Upton, Brookhaven, NY, USA
HybridHybrid schedule: four days on-site and one day work-from-home per week.
Administrative & Executive AssistanceExecutive Support, Administrative Support
No H1B Sponsorship

About the job

Requirements
  • A bachelor's degree in a related business field, or equivalent experience generally determined at a 2:1 ratio of experience to college education, plus seven years of related work experience showing progressively more complex responsibilities in substantive and relevant administrative or business operations roles, including demonstrated formal supervisory experience. Additional education in fields specifically related to the position requirements may offset qualifying experience.
  • Demonstrated success managing multiple administrative professionals, including setting priorities, balancing work, coaching and developing employees, managing performance, and building effective teams.
  • Demonstrated ability to lead administrative operations supporting a diverse portfolio of organizations, programs, or activities with differing requirements and priorities.
  • Strong leadership and interpersonal skills, including the ability to influence, manage change, resolve conflict, and build productive relationships across organizational boundaries.
  • Demonstrated strategic thinking and ability to translate organizational priorities into staffing, resource, process, and operational decisions.
  • Extensive knowledge of administrative and business practices across multiple functional areas and demonstrated ability to independently resolve complex operational issues.
  • Excellent organizational, analytical, decision-making, written, and verbal communication skills, with sound judgment and discretion in handling sensitive information.
  • Proficiency with Microsoft Office 365 applications, including Outlook, Word, Excel, PowerPoint, Teams, and SharePoint, with the ability to prepare reports, presentations, communications, and data-based administrative analyses.
  • Experience using business and administrative systems for financial transactions, procurement, travel, records management, and/or workforce administration.
  • Demonstrated commitment to working safely, acting ethically, and taking personal accountability for operational excellence.
  • This position is not eligible for visa sponsorship.
  • The selected candidate must be able to obtain and maintain a DOE Uncleared Personal Identity Verification credential.
Responsibilities
  • Lead the ISSD administrative organization, including supervision, coaching, development, performance management, workload coordination, and accountability for administrative staff across the Directorate.
  • Work with the ALD and Division leadership to anticipate organizational needs and effectively allocate administrative resources across changing priorities; identify staffing, capability, and coverage gaps and implement solutions.
  • Establish and continuously improve consistent administrative practices, service standards, cross-training, knowledge sharing, and backup coverage across ISSD while accommodating differing divisional and programmatic requirements.
  • Serve as the primary administrative resource to the ALD and Directorate Chief Operations Officer, independently addressing complex and sensitive administrative and organizational matters with discretion and sound judgment.
  • Lead resolution of complex issues involving personnel, procurement, finance, travel, facilities, records, and other business functions, ensuring compliance with Laboratory policies, internal controls, and DOE requirements.
  • Analyze organizational information and develop reports, presentations, recommendations, and solutions supporting ISSD leadership, strategic planning, and special initiatives.
  • Provide oversight of Directorate administrative activities, including authorized financial transactions, leadership travel, meetings and events, visitors, communications, SharePoint, and other shared functions.
  • Build strong partnerships across ISSD and Laboratory organizations and foster a collaborative, responsive, customer-focused administrative culture.
Desired Qualifications
  • Experience leading a distributed administrative organization in a national laboratory, research institution, university, government, engineering/technology, or similarly complex environment.
  • Demonstrated ability to leverage modern workplace technologies, including cloud-based collaboration, workflow, automation, and AI-enabled tools, to improve the efficiency, consistency, and quality of administrative operations.
  • Knowledge of BNL administrative policies, DOE requirements, and financial, procurement, travel, personnel, and records-management processes.
  • Experience supporting executive leadership and leading organizational improvement, change-management, or administrative process-improvement initiatives.

About the company

Brookhaven National Laboratory is a multi-purpose research institution focused on basic and applied science. It conducts research in physical, biomedical, and environmental sciences, energy technologies, and national security, and it builds and operates major scientific facilities that university, industry, and government researchers can use. Its operations are managed for the U.S. Department of Energy’s Office of Science by Brookhaven Science Associates, a partnership between the Research Foundation of the State University of New York (on behalf of Stony Brook University) and Battelle. Unlike purely academic labs, Brookhaven provides access to large, shared facilities and supports collaboration across academia, industry, and government. Its goal is to advance fundamental knowledge and develop practical technologies by running and maintaining facilities, conducting experiments, and enabling external researchers to perform cutting-edge work.

Company Size

1,001-5,000

Company Stage

N/A

Total Funding

N/A

Headquarters

Town of Brookhaven, New York

Founded

1947

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Simplify Jobs

Simplify's Take

What believers are saying

  • September 1, 2026 brought Brookhaven a $14.2 million DOE grid AI award.
  • September 2, 2026 PsiQuantum collaboration strengthens Brookhaven’s quantum-computing relevance.
  • August 21, 2026 wireless quantum-network milestone deepens Brookhaven’s New York talent magnet.

What critics are saying

  • July 21, 2026 layoffs at Brookhaven exposed dependence on shrinking federal budgets.
  • EIC costs climbed from $2.8 billion to $3.5 billion, threatening 2030 delivery.
  • A DOE appropriation cut kills EIC construction and hollows out Brookhaven’s flagship.

What makes Brookhaven Lab unique

  • BNL anchors DOE’s $400 million Electron-Ion Collider, plus Stony Brook’s quantum network.
  • John Hill and Allen Weeks run multi-institution science megaprojects, not product businesses.
  • BNL couples national lab compute, quantum, and accelerator infrastructure under one campus.

Help us improve and share your feedback! Did you find this helpful?

Benefits

  • Hybrid Work Options
  • Remote Work Options

Growth & Insights and Company News

Headcount

6 month growth

9%

1 year growth

9%

2 year growth

9%
TechJuice
Oct 20th, 2026
New brain-like chip analyzes fusion plasma 1M times per second.

New brain-like chip analyzes fusion plasma 1M times per second. By Abdul Wasay | 2 hours ago | US researchers have built a brain-like computer chip that can analyze fusion plasma at one million samples per second. Fusion reactors heat plasma to temperatures roughly 10 times hotter than the Sun's core. As a result, monitoring these extreme conditions requires processing power that conventional silicon chips struggle to deliver. Brookhaven National Laboratory designed the chip in partnership with Colorado-based startup Great Sky. The company manufactured it based on 12 years of research at the National Institute of Standards and Technology. In addition, the team worked with Princeton Plasma Physics Laboratory (PPPL) and the DIII-D National Fusion Facility in California. Together, they tested the chip's ability to monitor and predict plasma behavior in real time. "This is our largest chip to date, and it's great to see it processing high-speed data directly from a tokamak," said Jeff Shainline, Great Sky's founder and CEO. "This is just the beginning. This approach to AI hardware has so much to offer with regard to fusion, as well as other applications at the forefront of technology. Analysis of high-speed X-ray data, advanced cyber security, control and error correction of quantum systems, video intelligence with continual learning - these are all incredible opportunities as we scale up our systems." The chip uses superconducting circuits arranged to mimic neurons in the human brain. Instead of running on silicon transistors like traditional processors, it operates at cryogenic temperatures. It also communicates through light signals down to single-photon levels. Consequently, it can process massive data streams with far less energy, according to Great Sky. In lab tests, the team fed real plasma data from the DIII-D tokamak into the chip at one million samples per second. The chip successfully detected unusual plasma behavior and predicted disruptions that could damage a reactor. Furthermore, a third experiment used simulated data from TORAX, a tokamak simulator built by Google DeepMind's fusion team. The chip then predicted sawtooth instabilities, a common challenge in tokamak operations. Great Sky plans to unveil a next-generation chip with a neural network 10 times larger in December 2026. The team also aims to test it during live fusion experiments at DIII-D in 2027. Beyond fusion, the company says similar chips could support quantum computing, cybersecurity, and high-speed video analysis.

Windstream
Oct 19th, 2026
Great Sky's High-Speed AI Chips Analyze Fusion Plasmas

Great Sky's high-speed AI chips analyze fusion plasmas. The Associated Press Oct 19, 2026, 6:00 AM Great Sky's SOEN (superconducting optoelectronic network) wafer BOULDER, Colo.-(BUSINESS WIRE)-Oct 19, 2026- Great Sky, Brookhaven National Lab, Princeton Plasma Physics Laboratory, and the DIII-D National Fusion Facility partnered to develop a new kind of AI chip with the speed necessary to sense and respond to searing plasmas present in fusion reactors. The chips differ from conventional silicon chips - such as CPUs and GPUs - in fundamental ways. Instead of processing digital information using silicon transistors, Great Sky's chips implement analog neural networks using superconducting circuitry with optical communication. Great Sky's SOEN (superconducting optoelectronic network) wafer The team designed and fabricated their latest superconducting neural-network chip and demonstrated the chip performing three tasks of relevance to fusion control. The tasks were selected due to their relevance to the operation of tokamaks - large reactors designed for producing fusion power. Two of the tasks injected data collected at the DIII-D tokamak into the chip for anomaly classification and disruption prediction. The data was collected with a very high sample rate of a million samples per second, and the team showed the chip had no problem keeping up with that speed. The third task processed simulated data generated by TORAX - a tokamak simulator developed by the Google DeepMind Fusion team. For this task, the chip was able to process simulated signals to predict sawtooth instabilities, an event that is critical to tokamak operation. This example illustrates the feasibility of using Great Sky's chips as part of the real-time simulation of plasma state that is central to tokamak control and stabilization during operation. "It's incredible to see the team processing data from our tokamak," said Richard Buttery, Director of DIII-D. "The folks here at DIII-D are very excited to see how this chip can impact diagnostics and control for the fusion industry." Superconducting neural networks sit at the intersection of several DOE priorities: advanced AI, quantum technologies, and transformative energy. This collaboration shows how expertise in scientific AI and advanced computing can help move promising hardware concepts toward real-time control challenges in fusion and other complex systems. Fusion reactors demand control systems that can think at the speed of a rapidly evolving plasma. This demonstration showed a chip taking data straight from a tokamak at a million samples per second without missing a beat. It is a meaningful step toward the real-time control systems that practical fusion power will require. The Great Sky team has been developing this technology for over a decade, first at the National Institute of Standards and Technology before spinning out to form Great Sky. Their approach to AI hardware brings significant advantages in speed and energy efficiency, directly addressing the problems that hinder the economic foundations of the AI and data-center industries. This demonstration represents a significant step forward for the field of superconducting neural networks. "This is our largest chip to date, and it's great to see it processing high-speed data directly measured from a tokamak," said Jeff Shainline, founder and CEO of Great Sky. "But this is just the beginning. This approach to AI hardware has so much to offer with regard to fusion, as well as other applications at the forefront of technology. Control and error correction of quantum systems, advanced cybersecurity, video intelligence with continual learning - these are all incredible opportunities as we scale up our systems." The team will demonstrate their next-generation chip with a 10x larger neural network in December. About Great Sky Great Sky is building AI hardware, originally developed within the U.S. National Institute of Standards and Technology, to enable intelligence at the boundaries of physics. The company was founded by a renowned team of PhDs and researchers with decades of experience in photonics, physics, semiconductors, and superconductors. It's backed by marquee investors like Bison Ventures, Olive Tree Capital, Matchstick Ventures, Range Ventures and Access Venture Partners. Alli Lesovoy, Great Sky [email protected] KEYWORD: COLORADO UNITED STATES NORTH AMERICA INDUSTRY KEYWORD: RESEARCH TECHNOLOGY SEMICONDUCTOR SECURITY ALTERNATIVE ENERGY ENERGY NUCLEAR HARDWARE SCIENCE ARTIFICIAL INTELLIGENCE PUB: 10/19/2026 05:00 AM/DISC: 10/19/2026 05:00 AM You May Also Like

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Oct 19th, 2026
Great Sky's high-speed AI chips analyze fusion plasmas.

Great Sky's high-speed AI chips analyze fusion plasmas. BOULDER, Colo., Oct 19 - Great Sky, Brookhaven National Lab, Princeton Plasma Physics Laboratory, and the DIII-D National Fusion Facility partnered to develop a new kind of AI chip with the speed necessary to sense and respond to searing plasmas present in fusion reactors. The chips differ from conventional silicon chips - such as CPUs and GPUs - in fundamental ways. Instead of processing digital information using silicon transistors, Great Sky's chips implement analog neural networks using superconducting circuitry with optical communication. The team designed and fabricated their latest superconducting neural-network chip and demonstrated the chip performing three tasks of relevance to fusion control. The tasks were selected due to their relevance to the operation of tokamaks - large reactors designed for producing fusion power. Two of the tasks injected data collected at the DIII-D tokamak into the chip for anomaly classification and disruption prediction. The data was collected with a very high sample rate of a million samples per second, and the team showed the chip had no problem keeping up with that speed. The third task processed simulated data generated by TORAX - a tokamak simulator developed by the Google DeepMind Fusion team. For this task, the chip was able to process simulated signals to predict sawtooth instabilities, an event that is critical to tokamak operation. This example illustrates the feasibility of using Great Sky's chips as part of the real-time simulation of plasma state that is central to tokamak control and stabilization during operation. "It's incredible to see the team processing data from our tokamak," said Richard Buttery, Director of DIII-D. "The folks here at DIII-D are very excited to see how this chip can impact diagnostics and control for the fusion industry." Superconducting neural networks sit at the intersection of several DOE priorities: advanced AI, quantum technologies, and transformative energy. This collaboration shows how expertise in scientific AI and advanced computing can help move promising hardware concepts toward real-time control challenges in fusion and other complex systems. Fusion reactors demand control systems that can think at the speed of a rapidly evolving plasma. This demonstration showed a chip taking data straight from a tokamak at a million samples per second without missing a beat. It is a meaningful step toward the real-time control systems that practical fusion power will require. The Great Sky team has been developing this technology for over a decade, first at the National Institute of Standards and Technology before spinning out to form Great Sky. Their approach to AI hardware brings significant advantages in speed and energy efficiency, directly addressing the problems that hinder the economic foundations of the AI and data-center industries. This demonstration represents a significant step forward for the field of superconducting neural networks. "This is our largest chip to date, and it's great to see it processing high-speed data directly measured from a tokamak," said Jeff Shainline, founder and CEO of Great Sky. "But this is just the beginning. This approach to AI hardware has so much to offer with regard to fusion, as well as other applications at the forefront of technology. Control and error correction of quantum systems, advanced cybersecurity, video intelligence with continual learning - these are all incredible opportunities as we scale up our systems." The team will demonstrate their next-generation chip with a 10x larger neural network in December.

TBR News Media
Sep 30th, 2026
News from BNL: RHIC team receives prestigious DOE Secretary Achievement Award.

News from BNL: RHIC team receives prestigious DOE Secretary Achievement Award. A group of 11 physicists representing the Relativistic Heavy Ion Collider (RHIC) Discovery and Innovation team at the U.S. Department of Energy's (DOE) Brookhaven National Laboratory has received a Secretary of Energy Achievement Award for their contributions to RHIC, a flagship DOE Office of Science user facility for nuclear physics research that operated at Brookhaven Lab from 2000 to earlier this year. RHIC is best known for discovering that the matter created in its most energetic collisions of gold ions is a nearly perfect liquid - a surprising discovery about the conditions that permeated the very early universe nearly 14 billion years ago. enlarge An aerial view of the Relativistic Heavy Ion Collider (RHIC), a 2.4-mile-circumference dual-ring nuclear physics particle collider at Brookhaven National Laboratory. RHIC collides many types of ions - from polarized protons to the nuclei of gold and uranium atoms - to explore fundamental questions about their underlying structure and the properties of the building blocks of matter. (Brookhaven National Laboratory) The award recipients include accelerator physicists and engineers who designed and built the collider and developed innovative technologies that drastically improved its performance over more than 25 years of successful operations, along with experimental nuclear physicists who led the construction and operation of the particle detectors and the large international collaborations that carried out RHIC's scientific program. They represent a community of more than 3,500 scientists, engineers, and others who have been part of the RHIC program from its inception in the early 1980s through the final collisions this February. The RHIC team was one of 49 teams and 11 individuals recognized at the Secretary's Honor Awards ceremony at DOE headquarters in Washington, D.C. on Monday, September 28, 2026. The achievement award given to teams is among the highest honors given to DOE employees and contractors whose service has gone above and beyond with contributions having lasting impacts on both the Department and the Nation. To receive the award, a group must demonstrate excellent cooperation and teamwork. "Along with the entire DOE leadership team, I am so proud of the accomplishments of our award recipients. Their commitment to DOE's mission is an inspiration," said Secretary of Energy Chris Wright. The RHIC team's award citation specifically lists some of RHIC's impactful discoveries and scientific explorations - and the wide-ranging capabilities that made this science possible. These include: * The discovery and detailed characterization of the strongly coupled quark-gluon plasma, a form of nuclear matter made of quarks and gluons that existed just after the Big Bang and evolved into the protons and neutrons that make up 99% of visible matter in the universe today. * The sustained campaign over two and a half decades to explore quantum chromodynamics (QCD) - the theory that describes the interactions of quarks and gluons through the strong nuclear force - under extreme conditions of temperature and density. * Pioneering precision measurements of the proton's spin structure that revealed the gluon and antiquark contributions to spin. * RHIC's unique characteristics as the world's first heavy-ion collider, the only spin-polarized proton collider, and the most flexible collider ever built. * A series of groundbreaking accelerator innovations that were required for and inspired by RHIC's scientific mission: the ability to collide 49 different ion-beam species and energy combinations; the world's highest-energy polarized proton beams; stochastic cooling of bunched beams; high-intensity and high-brightness hadron sources; and the first demonstration of electron cooling based on radio-frequency acceleration. The citation concludes by recognizing how, collectively, RHIC's scientific program and technological innovations have advanced the frontiers of nuclear physics and accelerator science. "This recognition for the RHIC program and the people who made it possible comes at such an important time as we celebrate the successful completion of the RHIC science program," said Brookhaven Lab Director John Hill. "We were honored to have DOE Undersecretary for Science Dario Gil here for the final RHIC collisions on February 6, to officially turn off this incredibly productive scientific facility and to mark the transition of much of its infrastructure into a brand-new research machine, the Electron-Ion Collider (EIC). As we prepare to embark on a new frontier of discovery, it is a pleasure to honor the achievements of the team that delivered such amazing science from RHIC and look forward to what might come from the Electron-Ion Collider!" Brookhaven National Laboratory is supported by the Office of Science of the U.S. Department of Energy. The Office of Science is the single largest supporter of basic research in the physical sciences in the United States and is working to address some of the most pressing challenges of our time. For more information, visit science.energy.gov.

Gulf News
Sep 29th, 2026
UAE's Rashid Rover 2 Moon mission hits new milestone: Radar to probe 100 metres below lunar surface.

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