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Associate Science Jobs in Tennessee (NOW HIRING)

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Associate Science information

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$9

$18

$30

How much do associate science jobs pay per hour?

As of Sep 15, 2026, the average hourly pay for associate science in Tennessee is $18.03, according to ZipRecruiter salary data. Most workers in this role earn between $13.51 and $18.75 per hour, depending on experience, location, and employer.

What is an associate science?

Associate Science jobs typically refer to positions that require an Associate of Science (AS) degree, which is a two-year undergraduate degree focused on foundational science and math courses. Graduates often work as laboratory technicians, research assistants, environmental science technicians, or healthcare support roles. These jobs provide hands-on experience in scientific settings and can serve as a stepping stone to a bachelor's degree or higher-level positions in science-related fields.

What does an associate science do?

Associate Science professionals in laboratory settings are commonly tasked with preparing and analyzing samples, maintaining lab equipment, and documenting experimental results. They often collaborate closely with senior scientists and research teams to ensure experiments run smoothly and data is accurately recorded. Regular responsibilities may also include participating in team meetings to discuss findings and troubleshoot issues, as well as adhering to strict safety protocols. This collaborative and detail-oriented environment provides valuable experience for those looking to advance in scientific research careers.

What are the key skills and qualifications needed to thrive as an associate scientist?

To thrive as an Associate Scientist, you need a solid background in biological or chemical sciences, often supported by a bachelor's or master's degree in a relevant field. Familiarity with laboratory techniques, data analysis software, and safety protocols is typically required. Strong attention to detail, critical thinking, and effective communication are vital soft skills for this role. These skills ensure accurate experimentation, reliable results, and effective collaboration within research teams.

What is the difference between Associate Science vs Laboratory Technician?

AspectAssociate ScienceLaboratory Technician
CredentialsAssociate degree in Science or related fieldAssociate degree or certification in laboratory techniques
Work EnvironmentEducational settings, research labs, healthcare facilitiesResearch labs, hospitals, industrial labs
Employer & IndustryColleges, universities, research institutions, healthcare providersMedical labs, biotech companies, manufacturing
Common Search & ComparisonYesYes

While both roles require an associate degree, Associate Science professionals often work in educational or research settings, focusing on scientific education and research. Laboratory Technicians typically work in clinical or industrial labs, performing tests and supporting scientific experiments. The main difference lies in their work environment and specific job functions, though both roles share similar educational requirements.

What can I do with just an associate science degree?

An Associate Science degree prepares individuals for entry-level roles in fields such as laboratory technician, research assistant, pharmacy technician, or quality control analyst. These positions often require knowledge of scientific methods, basic lab equipment, and sometimes certification or on-the-job training.

What are the most commonly searched types of Science jobs in Tennessee?

The most popular types of Science jobs in Tennessee are:

What are popular job titles related to Associate Science jobs in Tennessee?

For Associate Science jobs in Tennessee, the most frequently searched job titles are:

What cities in Tennessee are hiring for Associate Science jobs?

Cities in Tennessee with the most Associate Science job openings:

Infographic showing various Associate Science job openings in Tennessee as of August 2026, with employment types broken down into 1% As Needed, 69% Full Time, 26% Part Time, 1% Temporary, and 3% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $37,509 per year, or $18 per hour.

Postdoctoral Research Associate - Scientific Validation of Quantum Simulations

Oak Ridge, TN • On-site

Oak Ridge National Laboratory
Scientific Research and Development Services • 5 - 10K employees

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 29 days ago


Oak Ridge National Laboratory rating

8.8

Company rating: 8.8 out of 10

Based on 16 frontline employees who took The Breakroom Quiz


Job description

Requisition Id 16930
Overview:
We are seeking a Postdoctoral Research Associate to advance the scientific validation of quantum simulations for quantum materials. This work directly supports the five-year mission of the ORNL Quantum Science Center (QSC) to establish a quantum-accelerated computing ecosystem for scientific applications. The successful candidate will develop, test, and evaluate the scientific applications by comparing results from quantum simulations directly with experimental measurements and classical simulations of quantum materials. This work will include benchmarking simulations by using reliable classical reference calculations and extending toward more challenging regimes. As part of our team, you will work closely with ORNL staff and external collaborators in quantum computing, condensed-matter physics, neutron scattering, applied mathematics, and scientific computing.
This position resides within the Quantum Sensing and Computing Group in the Computational Sciences and Engineering Division (CSED), Computing and Computational Sciences Directorate (CCSD) at Oak Ridge National Laboratory (ORNL).
Major Duties/Responsibilities:
  • Lead the development, testing, and application of rigorous approaches for the evaluation and validation of quantum simulations of quantum materials, including realistic treatment of uncertatinty and systematic error across experimental, classical computing, and quantum computing workflows.
  • Extend the methodology to early fault-tolerant quantum simulations and, ultimately, to classically intractable regimes, establishing the rigorous evidence needed to support credible claims of quantum advantage.
  • Develop and apply physics-informed AI/ML and digital-twin capabilities to improve modeling, parameter inference, uncertainty assessment, and adaptive feedback between experiments, classical simulations, and quantum simulations.
  • Collaborate with ORNL staff scientists and external collaborators.
  • Write peer-reviewed scientific articles and present research findings at major scientific conferences.
  • Deliver ORNL's mission by aligning behaviors, priorities, and interactions with our core values of Impact, Integrity, Teamwork, Safety, and Service

Basic Qualifications:
  • A Ph.D. degree in Physics, Applied Mathematics, Computer Science, Electrical Engineering, or a related discipline.
  • Familiarity with quantum computing and/or digital quantum simulation theory and practice.
  • Familiarity with quantum and classical programming languages and scientific computing

Preferred Qualifications:
We welcome candidates with strengths in several of the following areas; no single candidate is expected to bring expertise in all of them:
  • Experience developing or implementing quantum algorithms for Hamiltonian simulation.
  • Background in quantum materials or quantum many-body physics, particularly quantum magnetism and strongly correlated systems, as well as classical methods such as exact diagonalization, tensor networks or DMRG, and quantum Monte Carlo.
  • Familiarity with inelastic neutron scattering, thermal transport, or related experimental probes, including the effects of instrumental resolution, data reduction, and observable reconstruction.
  • Experience with uncertainty quantification, covariance modeling, sensitivity and robustness analysis, Bayesian inference, inverse problems, parameter estimation, or model validation.
  • Experience or strong interest in scientific AI/ML, including surrogate or multi-fidelity modeling, digital twins, generative models, adaptive optimization, or autonomous experiment-simulation workflows.
  • Excellent written and oral communication skills.
  • Motivated self-starter with the ability to work independently and to participate creatively in collaborative teams across the laboratory.
  • Ability to function well in a fast-paced research environment, set priorities to accomplish multiple tasks within deadlines, and adapt to ever changing needs.

Special Requirements:
Applicants cannot have received their Ph.D. more than five years prior to the date of application and must complete all degree requirements before starting their appointment. The appointment length will be up to 24 months with the potential for extension. Initial appointments and extensions are subject to performance and availability of funding.
  • Letters of Recommendation: Please submit three letters of reference when applying to this position. You may upload these directly to your application or have them sent to
    ORNLRecruiting@ornl.gov (For postdocs, use Postdocrecruitment@ornl.gov) with the position title and number referenced in the subject line.
  • Instructions to upload documents to your candidate profile:
    • Login to your account via jobs.ornl.gov
    • View Profile
    • Under the My Documents section, select Add a Document
  • Security, Credentialing, and Eligibility Requirements: For employment at Oak Ridge National Laboratory (ORNL), a Real ID compliant form of identification will be required. Additionally, ORNL is subject to Department of Energy (DOE) access restrictions. All employees must also be able to obtain and maintain a federal Personal Identity Verification (PIV) card as mandated by Homeland Security Presidential Directive 12 (HSPD-12) and Department of Energy (DOE) Order 473.1A, which requires a favorable post-employment background investigation.

To obtain this credential, new employees must successfully complete and pass a Federal Tier 1 background check investigation. This investigation includes a declaration of illegal drug activities, including use, supply, possession, or manufacture within the last year. This includes marijuana and cannabis derivatives, which are still considered illegal under federal law, regardless of state laws.
For foreign national candidates:
If you have not resided in the U.S. for three consecutive years, you are not eligible for the PIV credential and instead will need to obtain a favorable Local Site Specific Only (LSSO) risk determination to maintain employment. Once you meet the three-year residency requirement, you will be required to obtain a PIV credential to maintain employment.
About ORNL:
As a U.S. Department of Energy (DOE) Office of Science national laboratory, ORNL has an impressive 80-year legacy of addressing the nation's most pressing challenges. Our team is made up of over 7,000 dedicated and innovative individuals! Our goal is to create an environment where a variety of perspectives and backgrounds are valued, ensuring ORNL is known as a top choice for employment. These principles are essential for supporting our broader mission to drive scientific breakthroughs and translate them into solutions for energy, environmental, and security challenges facing the nation.
ORNL offers competitive pay and benefits programs to attract and retain individuals who demonstrate exceptional work behaviors. The laboratory provides a range of employee benefits, including medical and retirement plans and flexible work hours, to support the well-being of you and your family. Employee amenities such as on-site fitness, banking, and cafeteria facilities are also available for added convenience.
Other benefits include the following: Prescription Drug Plan, Dental Plan, Vision Plan, 401(k) Retirement Plan, Contributory Pension Plan, Life Insurance, Disability Benefits, Generous Vacation and Holidays, Parental Leave, Legal Insurance with Identity Theft Protection, Employee Assistance Plan, Flexible Spending Accounts, Health Savings Accounts, Wellness Programs, Educational Assistance, Relocation Assistance, and Employee Discounts.
This position will remain open for a minimum of 5 days after which it will close when a qualified candidate is identified and/or hired.
We accept Word (.doc, .docx), Adobe (unsecured .pdf), Rich Text Format (.rtf), and HTML (.htm, .html) up to 5MB in size. Resumes from third party vendors will not be accepted; these resumes will be deleted and the candidates submitted will not be considered for employment.
If you have trouble applying for a position, please email ORNLRecruiting@ornl.gov.
ORNL is an equal opportunity employer. All qualified applicants, including individuals with disabilities and protected veterans, are encouraged to apply. UT-Battelle is an E-Verify employer.

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