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Graduate Research Associate Jobs (NOW HIRING)

Research Associate Apply now Back to search results Job no: 534727 Work type: Research Faculty ... Required Qualifications Graduate degree in biology, health sciences, biochemistry, exercise ...

Research Associate I

Atlanta, GA · On-site

$47K - $52K/yr

Research Associate I Georgia State University Andrew Young School of Policy Studies Public Finance ... staff, graduate research assistants, and administrative personnel to support PFRC research ...

Research Associate

Campus, IL · On-site +1

$90K - $120K/yr

Details Open Date 05/27/2026 Requisition Number PRN45110B Job Title Research Associate Working ... Mentor, train, and supervise research staff and graduate assistants in qualitative methods and ...

Research Associate

Salt Lake City, UT · On-site +1

$90K - $120K/yr

Details Open Date 05/27/2026 Requisition Number PRN45110B Job Title Research Associate Working ... Mentor, train, and supervise research staff and graduate assistants in qualitative methods and ...

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How much do graduate research associate jobs pay per hour?

As of Jun 11, 2026, the average hourly pay for graduate research associate in the United States is $32.54, according to ZipRecruiter salary data. Most workers in this role earn between $26.20 and $37.02 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Graduate Research Associate, and why are they important?

To thrive as a Graduate Research Associate, you need a solid academic background in your field, strong analytical skills, and experience with research methodologies, typically supported by enrollment in a relevant graduate program. Familiarity with data analysis software (such as SPSS, R, or MATLAB), literature databases, and possibly lab equipment or coding languages is often required. Excellent written and verbal communication, attention to detail, and time management are critical soft skills for producing high-quality research and collaborating with faculty and peers. These skills are vital for conducting rigorous research, contributing to academic publications, and advancing both individual and institutional research goals.

What are Graduate Research Associates?

Graduate Research Associates are graduate students, often pursuing a master's or doctoral degree, who assist faculty members or research teams with academic research projects. Their responsibilities can include collecting and analyzing data, conducting literature reviews, preparing research reports, and sometimes co-authoring publications. These positions help students gain practical research experience and develop skills relevant to their academic and professional careers.

What are some typical challenges Graduate Research Associates face when balancing research responsibilities with coursework or teaching duties?

Graduate Research Associates often juggle multiple commitments, including research, coursework, and sometimes teaching assistantships. Managing time effectively can be challenging, especially when project deadlines and academic requirements overlap. Many associates develop strong organizational and communication skills to handle shifting priorities, and it's common to coordinate closely with advisors to set realistic goals and expectations. Proactively seeking support from peers and utilizing university resources can also help in maintaining a healthy work-life balance.

What is the difference between Graduate Research Associate vs Research Assistant?

AspectGraduate Research AssociateResearch Assistant
Required CredentialsTypically enrolled in a graduate program; may have a bachelor's degreeUsually holds a bachelor's degree; some roles require a master's
Work EnvironmentResearch labs, academic institutions, or industry R&D departmentsResearch labs, academic settings, or fieldwork environments
Employer & Industry UsageUniversities, research institutes, and industry R&D teamsUniversities, government agencies, and private companies

The Graduate Research Associate role generally involves advanced research responsibilities within academic or industry settings and often requires enrollment in a graduate program. Research Assistants typically support research projects with less independent responsibility and may have fewer educational prerequisites. Both roles are essential for research projects but differ mainly in educational status and scope of responsibilities.

What cities are hiring for Graduate Research Associate jobs? Cities with the most Graduate Research Associate job openings:
What are the most commonly searched types of Graduate Research jobs? The most popular types of Graduate Research jobs are:
What states have the most Graduate Research Associate jobs? States with the most job openings for Graduate Research Associate jobs include:
Infographic showing various Graduate Research Associate job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 86% Full Time, 11% Part Time, 1% Temporary, and 1% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $67,685 per year, or $32.5 per hour.
Graduate Research Associate

Graduate Research Associate

Los Alamos National Laboratory

Los Alamos, NM • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 12 days ago


Los Alamos National Laboratory rating

9.2

Company rating: 9.2 out of 10

Based on 32 frontline employees who took The Breakroom Quiz

7th of 103 rated laboratories


Job description

Description
Job Title Graduate Research Associate
Location Los Alamos, NM, US
Organization Name MST-8/Materials Science in Radiation & Dynamics Extremes
Minimum Salary
Maximum Salary
What You Will Do
Staff in the Materials Science in Radiation and Dynamics Extremes Group (MST-8) in the Materials Science and Technology Division at Los Alamos National Laboratory (LANL) are seeking a candidate for the Graduate Research Assistant Program in computational materials science and data-driven experimental design. The position is in support of several research projects that address multi-scale problems relating to nuclear fuel systems, including oxide, metallic, and other non-oxide ceramics fuels as well as steel, zirconium, and silicon carbide cladding, as well as their performance in reactor systems. This position supports academic research focused on the development of advanced computational methods for adaptive experimental design in quantitative elemental imaging workflows. The research will involve the design, implementation, and evaluation of advanced computational algorithms
  • Identify spatial and compositional patterns in multi-element mapping datasets (e.g., gradients, segregation, inclusions, clustering, interfaces, and anomalous regions);
  • Recommend follow-on measurement actions to maximize information gain, including:
  • Identifying regions where additional raster scans should be performed,
  • Suggesting locations for higher-resolution or higher-statistics scans,
  • Proposing targeted point analyses to refine compositional estimates.
  • Optimize acquisition parameters (e.g., dwell time, step size, spatial resolution, and count-statistics proxies) to enhance data quality while respecting operational and instrument constraints.
  • Detect and manage out-of-bounds or invalid parameter selections by incorporating safe operating limits into the decision-making framework.
  • Integrate uncertainty quantification and data-quality metrics to prioritize measurements and avoid low-value or unreliable regions.

The student will implement the developed methods in Python-based, open-source software with emphasis on reproducibility, modular architecture, and transparency. The resulting codebase will be structured as a generalizable, community-accessible framework suitable for peer-reviewed publication and broad dissemination.
The ideal candidate will be pursuing the above topic for their own research in their university.
What You Need
Minimum Job Requirements:
  • Successfully complete a minimum of 6 graduate credit hours per semester (or the equivalent of full-time enrollment). All students MUST remain enrolled at their university while working at the Lab during the academic year.
  • Have and maintain a minimum cumulative GPA of 3.2 on 4.0 scale.
  • Pass a new employment drug test: The Laboratory requires successful applicants to complete a new employment drug test and maintains a substance abuse policy that includes random drug testing.
  • Fluency in one or more computer programming languages (e.g., Matlab, Python, Visual Basic, C++, etc.)
  • Strong communication skills, both orally and in writing, for a wide range of audiences.

Education/Experience:
Currently Enrolled in a master's program in materials science, applied physics, computer engineering, or a closely related discipline.
Desired Qualifications:
  • Strong programming experience in Python, including scientific computing libraries (NumPy, SciPy, scikit-learn, PyTorch/TensorFlow, etc.);
  • Experience with machine learning, AI methods, or data-driven modeling.
  • Familiarity with uncertainty quantification, statistical inference, or Bayesian experimental design.
  • Experience analyzing spatially resolved or imaging datasets.
  • Demonstrated ability to design and implement modular, reproducible scientific software.
  • Experience working with scientific instrumentation data or experimental workflows (preferred).
  • Demonstrated ability to conduct independent and collaborative research.
  • Strong written and oral communication skills.

Work Location : The work location for this position is onsite and located in Los Alamos, NM. All work locations are at the discretion of management.
Note to Applicants:
  • The cover letter should address the relevant job requirements and skills desired of this position, with specific examples from your academic and research experience. Expected degree completion dates and relevant coursework should also be included.
  • Evaluation of applications will commence immediately and continue until the position is filled.

Requirements for acceptance:
  • No Clearance Required: Position does not require a security clearance. Selected candidates will be subject to drug testing and other pre-employment background checks.

Due to federal restrictions contained in the current National Defense Authorization Act, citizens of the People's Republic of China-including the special administrative regions of Hong Kong and Macau-as well as citizens of the Islamic Republic of Iran, the Democratic People's Republic of Korea (North Korea), and the Russian Federation, who are not Lawful Permanent Residents ("green card" holders) are prohibited from accessing facilities that support the mission, functions, and operations of national security laboratories and nuclear weapons production facilities, which includes Los Alamos National Laboratory.
Where You Will Work
Located in northern New Mexico, Los Alamos National Laboratory (LANL) is a multidisciplinary research institution engaged in strategic science on behalf of national security. LANL enhances national security by ensuring the safety and reliability of the U.S. nuclear stockpile, developing technologies to reduce threats from weapons of mass destruction, and solving problems related to energy, environment, infrastructure, health, and global security concerns.
The Sigma Manufacturing Science Division focuses on materials science, engineering, and chemistry, emphasizing metallurgical, powder, and chemical processes and research. Our mission is to provide outstanding manufacturing science and engineering solutions to support our national security and industry customers-a scope that spans metal lic, ceramic, and organic materials composed of elements ranging from hydrogen to uranium on the periodic table , with a strong emphasis on unconventional and low-symmetry materials. We are a flexible, integrated one-stop shop providing exceptional customer service from concept and process development to fabricated finished products.
Our generous benefits package includes:
  • PPO or High Deductible medical insurance with the same large nationwide network Dental and vision insurance
  • Free basic life and disability insurance
  • Paid childbirth and parental leave
  • Award-winning 401(k) (6% matching plus 3.5% annually)
  • Learning opportunities and tuition assistance
  • Flexible schedules and time off (PTO and holidays)
  • Onsite gyms and wellness programs
  • Extensive relocation packages (outside a 50 mile radius)

Additional Details
Directive 206.2 - Employment with Triad requires a favorable decision by NNSA indicating employee is suitable under NNSA Supplemental Directive 206.2 . Please note that this requirement applies only to citizens of the United States. Foreign nationals are subject to a similar requirement under DOE Order 142.3A.
No Clearance: Position does not require a security clearance. Selected candidates will be subject to drug testing and other pre-employment background checks.
New-Employment Drug Test: The Laboratory requires successful applicants to complete a new-employment drug test and maintains a substance abuse policy that includes random drug testing. Although New Mexico and other states have legalized the use of marijuana, use and possession of marijuana remain illegal under federal law. A positive drug test for marijuana will result in termination of employment, even if the use was pre-offer.
Internal Applicants: Regular appointment employees who have served the required period of continuous service in their current position are eligible to apply for posted jobs throughout the Laboratory. If an employee has not served the required period of continuous service, they may only apply for Laboratory jobs with the documented approval of their Division Leader. Please refer to Policy Policy P701 for applicant eligibility requirements.
Equal Opportunity: Los Alamos National Laboratory is an equal opportunity employer. All employment practices are based on qualification and merit, without regard to protected categories such as race, color, national origin, ancestry, religion, age, sex, gender identity, sexual orientation, marital status or spousal affiliation, physical or mental disability, medical conditions, pregnancy, status as a protected veteran, genetic information, or citizenship within the limits imposed by federal, state, and local laws and regulations. The Laboratory is also committed to making our workplace accessible to individuals with disabilities and will provide reasonable accommodations, upon request, for individuals to participate in the application and hiring process. To request such an accommodation, please send an email to applyhelp@lanl.gov or call (505)-664-6947.
Follow the instructions below if you have ever had an employee Z number, been a contractor, or received Los Alamos Lab insurance coverage to activate your account:
  • Select the Click Here button if you have been employed with the Lab or received insurance coverage.
  • Please enter only your first and last name and current email address (an email with your validation code will be sent to you) to activate the account currently in our system.
  • Enter your validation code as described in the email you receive and complete the 3-page registration form. Your account is now active, and you can apply for jobs or save to your basket. Important: Enter the validation code within 15 days to activate your account or your account will be deactivated.

Follow the instructions below if you if you have never been employed with the Lab or received insurance coverage to create an account:
  • Select the Register button if you have never been employed with the Lab or received insurance coverage to Create an Account.
  • From here, you will establish an account with username and password.

How to Apply: Login to Your Account to Complete the Application Process
  • Click the Vacancy Name number (in blue) to view any job's details.
  • Click Apply or Add to Basket to apply later. Tip: To apply for a job or save your basket, you must have a LANL jobs account.

If you experience any technical issues, please email applyhelp@lanl.gov for assistance.
Employment Status Full Time
Appointment Type GRA
GRA

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