Postdoc Research Associate - Data Scientist

Savannah River National Laboratory • Aiken, SC

14h

About The Position

Savannah River National Laboratory’s Environmental and Legacy Management (ELM)
directorate is seeking a highly motivated and self-starting Data Scientist
researcher with a focus on AI and machine learning to join their Environmental
Sciences and Dosimetry team. This role involves developing cutting edge models
for monitoring complex and dynamic physical systems. The successful candidate
should have strong software development experience in Python and broad knowledge
of AI and machine learning techniques and an ability to apply them to broad
problem sets in areas such as bioengineering, environmental monitoring, and
national security related domains.

The Postdoctoral Research Associate positions are fixed term assignments within
the company and benefits eligible.

"We put science to work!"

Savannah River National Laboratory (SRNL) is a multi-program laboratory applying
state of the art science and practical, high-value, cost-effective solutions to
complex technical problems to protect the nation. Located at the U.S. Department
of Energy’s (DOE) Savannah River Site (SRS) in Aiken SC, the laboratory develops
and deploys innovative technologies to address some of the nation’s
environmental, energy, and national security challenges.

Battelle Savannah River Alliance (BSRA) is constantly assessing trends to
provide the best possible benefits to our workforce. We also negotiate cost
effective premiums that will meet the needs of our evolving workforce.

SRNL’s Environmental & Legacy Management (ELM) Directorate closely collaborates
with the Department of Energy (DOE) and site contractors to develop, mature, and
apply science and technology needed to resolve environmental challenges and
advance legacy management missions. As the lead laboratory for Environmental
Management (DOE-EM) and Legacy Management (DOE-LM), SRNL applies our talent and
expertise to develop and deploy innovative approaches and technologies to reduce
risk, cost, and schedule of environmental cleanup and nuclear material
processing. Additionally, ELM is using our competencies to develop new
materials and processes for a range of clean energy applications.

Requirements

• strong software development experience in Python
• broad knowledge of AI and machine learning techniques
• ability to apply them to broad problem sets in areas such as bioengineering, environmental monitoring, and national security related domains

Benefits

• Highly competitive Medical, Dental, and Vision options including HSA options with company provided seed
• Short- & Long-Term Disability (company paid)
• Life Insurance Non-Contributory 1X salary (company paid)
• AD&D Non-contributory 1x salary (company paid)
• Savings & Investment plan:
• Qualified Non-Elective Company Contribution of 5% each pay period with immediate vesting
• Company match 50 cents/dollar up to 8% (5 yrs. vesting in company match)
• Contributory Life Insurance up to 5x Salary with $1M Cap
• Contributory AD&D (employee, spouse and children)
• Paid Time Off
• Employee Assistance Plan
• SRNL offers a competitive relocation package to ease the transition process.
• Domestic and international relocation assistance is available for certain positions.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Education Level: No Education Listed
• Number of Employees: 251-500 employees