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Research Associate Computational Science Data Management

Job ID 1522 Date posted 11/14/2018

Brookhaven National Laboratory is a multipurpose research institution funded primarily by the U.S. Department of Energy’s Office of Science. Located at the center of Long Island, New York, Brookhaven Lab brings world-class facilities and expertise to the most exciting and important questions in basic and applied science—from the birth of our universe to the sustainable energy technology of tomorrow. We operate cutting-edge large-scale facilities for studies in physics, chemistry, biology, medicine, applied science, and a wide range of advanced technologies. The Laboratory's almost 3,000 scientists, engineers, and support staff are joined each year by more than 4,000 visiting researchers from around the world. Our award-winning history, including seven Nobel Prizes, stretches back to 1947, and we continue to unravel mysteries from the nanoscale to the cosmic scale, and everything in between. Brookhaven is operated and managed by Brookhaven Science Associates, which was founded by the Research Foundation for the State University of New York on behalf of Stony Brook University, and Battelle, a nonprofit applied science and technology organization.

Brookhaven National Laboratory (BNL) is the scientific, extreme scale Data Laboratory in the US with over 145 PB of data archived and 690 PB of data analyzed in FY 2018.  This data comes largely from the many scientific user facilities that are operated and supported by BNL such as: the unique nuclear physics experiment RHIC, the brightest synchrotron in the world NSLS II, the largest Tier 1 center for the LHC Atlas experiment, the Japanese particle physics experiment Belle II, the Center for Functional Nanomaterials and the Atmospheric Radiation Measurement program.  As a result, we have a lively, fast growing data science research program at BNL, with a specific focus on the challenges presented by the analysis, interpretation and use of data at extreme scales and in real time. The data science program is accompanied by significant computational modeling research effort, in support of the design, planning, analysis and interpretation of experiments and their results. The Computational Science Initiative (CSI - provides the laboratory-wide umbrella for these activities, bringing together computer scientists, applied mathematicians and domain scientists to carry out leading edge research, convert research results into practical solutions that advance domain science, accelerate scientific discovery and provide the necessary computing infrastructure services and training to support efficient operation.  A particular focus of CSI's work is the research, development and deployment of novel methods and algorithms for the analysis and interpretation of high volume, high velocity, heterogeneous scientific data created by experimental, observational and computational facilities.

The SSDCC is currently looking for a postdoctoral research associate to join our team. The successful candidate will assist with development & deployment of Rucio. Rucio is a scientific data management software originally built for the ATLAS experiment. It has been successfully used to catalog hundreds of millions of files and to transfer PB's of data regularly to various other sites. With the successful use of Rucio at ATLAS, various other experiments and/or projects have begun to or are considering using Rucio. Rucio is written in Python language and it interacts with various databases with plug-able interfaces, allowing new features specific to each project to be implemented.

Essential Duties and Responsibilities:

    • Ph.D. in Physics, Computer Science or a related discipline
    • Developing software tools for distributed data management in support for the fast growing needs of the supported scientific programs
    • Analyzing requirements from user communities
    • Designing and implementing interfaces and plug-ins as specified by users
    • Testing functionality and scalability of data management software
    • Deploying released versions of data management tools to local clients and other sites located in the US
    • Taking responsibility for development of interfaces to various network and storage protocols.

Required Knowledge, Skills, and Abilities:

  • Maintenance or development of scientific data management tools
  • Software development for large distributed systems
  • Knowledge of Python
  • Database operation and development

Preferred Knowledge, Skills, and Abilities:

  • Working knowledge of data transfer tools such as gridftp, FTS, and Globus online
  • Work autonomously in a collaborative environment with time-sensitive deadlines


  • Occasional travel (foreign and domestic) is required.

BNL policy requires that research associate appointments be made to individuals who have received their doctorate within the past five years.

At Brookhaven National Laboratory we believe that a comprehensive employee benefits program is an important and meaningful part of the compensation employees receive. Our benefits program includes, but is not limited to:

  • Medical Plans
  • Dental Plans
  • Vacation
  • Holidays
  • Life Insurance
  • 401(k) Plan
  • Paid Parental Leave
  • Swimming Pool, Weight Room, Tennis Courts, and many other employee perks and benefits

We invite you to consider Brookhaven National Laboratory for employment. To be considered for this position, please apply online at BNL Careers and enter the job title into the Keyword Search.

Brookhaven National Laboratory (BNL) is an equal opportunity employer committed to ensuring that all qualified applicants receive consideration for employment and will not be discriminated against on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, status as a veteran, disability or any other federal, state or local protected class.

BNL takes affirmative action in support of its policy and to advance in employment individuals who are minorities, women, protected veterans, and individuals with disabilities.

*VEVRAA Federal Contractor

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