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Full Time Gaussian Jobs (NOW HIRING)

$127K/yr

Belknap Campus Time Type: Full time Worker Type: Regular Job Req ID: R108683 Minimum Requirements ... CUDA, VASP, Gaussian, and Nextflow, Open OnDemand) * Experience with the installation ...

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Full Time Gaussian information

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$37.5K

$122.7K

$196.5K

How much do full time gaussian jobs pay per year?

As of Jun 30, 2026, the average yearly pay for full time gaussian in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What is the difference between Full Time Gaussian vs Full Time Data Analyst?

AspectFull Time GaussianFull Time Data Analyst
Required CredentialsBachelor's in Math, Statistics, or related field; knowledge of Gaussian modelsBachelor's in Statistics, Data Science, or related field; proficiency in data analysis tools
Work EnvironmentResearch labs, analytics firms, or tech companies focusing on statistical modelingBusiness environments, consulting firms, or corporate analytics teams
Industry UsageSpecialized in statistical modeling involving Gaussian distributionsBroadly used across industries for data interpretation and reporting
Common Search/ComparisonYesNo

Full Time Gaussian roles focus on statistical modeling using Gaussian distributions, often requiring advanced math skills. Full Time Data Analyst positions involve analyzing data sets to inform business decisions, with broader industry application. While both roles require analytical skills, Gaussian specialists are more niche, whereas data analysts are more versatile across sectors.

More about Full Time Gaussian jobs
What are the most commonly searched types of Gaussian jobs? The most popular types of Gaussian jobs are:
Infographic showing various Full Time Gaussian job openings in the United States as of June 2026, with employment types broken down into 100% Part Time. Highlights an 99% Hybrid, and 1% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.
Postdoctoral Appointee - Building Agentic AI Platform for X-ray Science

Postdoctoral Appointee - Building Agentic AI Platform for X-ray Science

Argonne National Laboratory

Lemont, IL • On-site

$72K - $121K/yr

Full-time

Posted 17 days ago


Key responsibilities

  • Develop an AI-enabled platform for X-ray absorption spectroscopy by integrating LLMs, scientific machine learning, and computational chemistry expertise.

  • Work with a multidisciplinary team to advance agentic AI tools for simulation, interpretation, data analysis, and scientific discovery.


Job description

We are seeking a highly motivated and creative Postdoctoral Researcher to join the X-ray Science Division (XSD) at Argonne National Laboratory. The successful candidate will develop an AI-enabled platform for X-ray absorption spectroscopy by integrating LLMs, scientific machine learning, physics-aware workflows, and strong computational chemistry/electronic-structure expertise. The researcher will work with a multidisciplinary team to advance agentic AI tools for simulation, interpretation, data analysis, and scientific discovery. The appointment is expected to last two years and the contract is extended yearly.
Position Requirements
  • A recent PhD (within 5 years) in computational chemistry, chemistry, materials science, physics, computational science, computer science, engineering, or a related field.
  • Strong computational chemistry background in atomistic simulations, electronic-structure theory, DFT, structure-property relationships, and interpretation of simulation results.
  • Hands-on experience with DFT or electronic-structure codes such as VASP, Quantum ESPRESSO, CP2K, ABINIT, GPAW, Gaussian, ORCA, Q-Chem, or related packages.
  • Strong materials science or chemistry domain knowledge, such as bonding, defects, catalysis, batteries, solid-state chemistry, molecular systems, or related materials classes.
  • Strong Python skills and familiarity with LLM APIs, agent frameworks , PyTorch, and the Python scientific stack (e.g., numpy, pandas, scikit-learn). Passion for front-end development and web-based applications, back-end services and API design (e.g., FastAPI, Flask), and deploying applications in local or cloud environments.
  • Experience with complex scientific datasets and reproducible analysis or simulation workflows.
  • Effective written and oral communications skills.
  • Demonstrated ability to work both independently and collaboratively in a multidisciplinary environment.
  • Commitment to Argonne's Core Values: Impact, Safety, Respect, Integrity, and Teamwork.

Preferred Knowledge, Skills, and Experience
  • Experience with X-ray absorption spectroscopy theory, modelling, and interpretation, including XANES/EXAFS.
  • Hands-on experience with XAS simulation packages such as FEFF, OCEAN, FDMNES, XSpectra, or exciting.
  • Experience comparing simulated and experimental XAS/XAFS spectra.
  • Experience with high-throughput spectroscopy workflows, HPC, synchrotron datasets, or physics-informed AI.

**Please include a cover letter that briefly describes relevant simulation, chemistry, AI/ML, and XAS experience; include code links if available.**
Job Family
Postdoctoral
Job Profile
Postdoctoral Appointee
Worker Type
Long-Term (Fixed Term)
Time Type
Full time
The expected hiring range for this position is $72,879.00-$121,465.00.
Please note that the pay range information is a general guideline only. The pay offered to a selected candidate will be determined based on factors such as, but not limited to, the scope and responsibilities of the position, the qualifications of the selected candidate, business considerations, internal equity, and external market pay for comparable jobs. Additionally, comprehensive benefits are part of the total rewards package.
Click here to view Argonne employee benefits!
As an equal employment opportunity employer, and in accordance with our core values of impact, safety, respect, integrity and teamwork, Argonne National Laboratory is committed to a safe and welcoming workplace that fosters collaborative scientific discovery and innovation. Argonne encourages everyone to apply for employment. Argonne is committed to nondiscrimination and considers all qualified applicants for employment without regard to any characteristic protected by law.
Argonne employees, and certain guest researchers and contractors, are subject to particular restrictions related to participation in Foreign Government Sponsored or Affiliated Activities, as defined and detailed in United States Department of Energy Order 486.1A. You will be asked to disclose any such participation in the application phase for review by Argonne's Legal Department.
All Argonne offers of employment are contingent upon a background check that includes an assessment of criminal conviction history conducted on an individualized and case-by-case basis. Please be advised that Argonne positions require upon hire (or may require in the future) for the individual be to obtain a government access authorization that involves additional background check requirements. Failure to obtain or maintain such government access authorization could result in the withdrawal of a job offer or future termination of employment.