Data Scientist Postdoc

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

Posting Date : 07 / 07 / 25

Range : $64,200 - $96,400 (PD)

Work Type : Hybrid (combination of on and off-site work based on business needs)

This 2+ year appointment (contingent on continued funding) will focus on projects aimed at applying data science methods to relevant Jefferson Lab mission projects.

What your job will be like :

Jefferson Lab is a nuclear physics research facility funded by Office of Science of the Department of Energy. 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 :

• Generative AI
• Scalable Machine Learning
• Automated and autonomous for design and control applications
• Robust and scalable Machine Learning (ML) / Artificial Intelligence (AI) solutions

Please send at least 2 reference letters to Nash Hauslo (hauslo@ jlab.org)

JSA will not sponsor H1B visas for this position.

Essential Skills & Job Functions

Discipline, principal job duties / expectations, and qualitative and quantitative measures of performance :

The candidate will have a background in a relevant area of computer science and / or data science and some experience with ML / AI. Applicants must be able to work with a diverse group of subject matter experts, possess good communication skills, and have relevant technical knowledge.

Qualifications :

Knowledge, Skills, and Abilities :

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 :

Jefferson Science Associates, LLC (JSA) manages and operates the Thomas Jefferson National Accelerator Facility (Jefferson Lab). JSA is an Equal Opportunity Employer.

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 recruiting @jlab.org or contact Human Resources by calling (757) 269-7100 and selecting option 1 between 8 am - 5 pm EST to provide the nature of your request.

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.