Jefferson Lab


As a matter of corporate policy, all JSA employees are required to be vaccinated against COVID-19. All successful hires will be required to provide COVID-19 vaccination verification as a condition of employment, subject to limited legally recognized exemptions to the COVID-19 vaccination.

Posting Date: 07/27/2022
Salary Range:
$107,400 - $169,600 (SCS III)
Work Location Type:
Flexible On-site (working more than 60% on-site)

Come join our team at Jefferson Lab, where great minds matter.

What your job will be like:

The Computational Sciences and Technology (CST) division is responsible for the support of scientific computing projects and the computing infrastructure that advance the science mission of the laboratory. The mission for the data science department is to develop and apply advance data analytics to advance the Jefferson Lab scientific objective and regional scientific efforts. The Data Science Department at Jefferson Lab is conducting research and development in machine learning and data analysis focused on:

  • Uncertainty quantification for single pass deep learning models
  • Automated and autonomous for design and control applications
  • Robust and scalable Machine Learning (ML)/Artificial Intelligence (AI) solutions

In this role you will:

  • Identify, lead and complete technical efforts in data science for projects at Jefferson Lab and sponsors
  • Contribute to program development by assisting in proposal writing, attend DOE workshops and identifying new collaboration
  • Develop software for HPC system across the DOE computing facilities
  • Work with large datasets and mine relevant information for use in AI/ML applications
  • Demonstrate ability to develop approaches and solutions to complex problems in the forms of proposals, software, documents or other work products.
  • Be a proactive, highly motivated self-starter with demonstrated experience with contributing and leading tasks on major projects with multi-disciplinary teams.

Qualifications we require:

Education:

  • BS degree in computer science, information systems or other relevant information technology field.

Experience:

  • Six years of experience in relevant IT field

Knowledge, Skills and Abilities:

  • Ability to work with large data sets and mine relevant information for use in AI/ML applications
  • Proficiency in Python and familiarity with publicly available technical libraries for data analytics (e.g. scikit-learn), deep learning (e.g. Pytorch, Tensorflow) and optimization tools
  • Proactive, highly motivated self-starter with demonstrated experience with contributing and leading tasks on major projects with multi-disciplinary teams.
  • Demonstrated ability to develop approaches and solutions to complex problems in the forms of proposals, software, documents or other work products.

About Jefferson Lab

Join a community with a common purpose of solving the most challenging scientific and engineering problems of our time. The Jefferson Lab campus is located in southeastern Virginia amidst a vibrant and growing technology community.

A career at Jefferson Lab is more than a job. You will be part of “big science” and work alongside top scientists and engineers from around the world unlocking the secrets of our visible universe. Managed by Jefferson Science Associates, LLC; Thomas Jefferson National Accelerator Facility is entering an exciting period of mission growth and is seeking new team members ready to apply their skills and passion to have an impact. You could call it work, or you could call it a mission. We call it a challenge. We do things that will change the world.

Total Rewards at Jefferson Lab

At Jefferson Lab, 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, Dental, and Vision Care Plans
  • Flexible Spending Accounts
  • Paid Time-off and Leave Programs (vacation, holidays, sick leave)
  • 401(k) Plan – 9% Lab Contribution; 100% vested
  • Flexible Work Arrangements (Hybrid & Alternate Work Schedules available)
  • Tuition Assistance, Training and Professional Development Programs
  • Live near the waterways of the Chesapeake Bay region with access to nearby beaches, mountains, and all major metropolitan centers on the East Coast

Jefferson Science Associates, LLC (JSA) manages and operates the Thomas Jefferson National Accelerator Facility (Jefferson Lab). JSA is an Equal Opportunity Employer and does not discriminate in hiring or employment on the basis of race, color, religion, ethnicity, sex, sexual orientation, gender identity, national origin, ancestry, age, disability, or veteran status or on any other basis prohibited by federal, state, or local law. As part of the JSA’s equal employment opportunity policy, we also take affirmative action as called for by applicable laws and Executive Orders to ensure that minority group individuals, females, disabled veterans, recently separated veterans, other protected veterans, Armed Forces, and qualified disabled persons are introduced into our workforce and considered for promotional opportunities.

JSA is committed to providing reasonable accommodations for persons with disabilities (unless doing so will result in an undue hardship). If you need a reasonable accommodation for any part of the employment process, please send an e-mail to employment @ jlab.org call (757) 269-7598 to provide the nature of your request. Reasonable accommodations are considered on a case-by-case basis.

Employment with JSA is conditional upon DOE approval if at any time during your employment you are participating in a Foreign Government Talent Recruitment Program or Affiliated activity. Generally, such programs/activities include any foreign-state-sponsored attempt to acquire U.S.-funded scientific research through programs run or funded by the government that target scientists, engineers, students, academics, researchers, and entrepreneurs of all nationalities working or educated in the United States. This includes positions or appointments, both domestic and foreign, titled academic, professional, or institutional appointments whether or not remuneration is received and whether full-time, part-time or voluntary.