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Full Time Molecular Simulation Jobs (NOW HIRING)

Exempt, Full Time Location: Remote Department: Clinical Pharmacology Company Overview Enliven ... Experience with modeling and simulation and model- informed drug development (MIDD) is highly ...

POSITION SPECIFICS Postdoctoral Scholar (Physics / Statistical Mechanics in Molecular Biology) The ... This position is full time, on-site at the Penn State University Park campus. This position does ...

$101K - $130K/yr

Strong background in API small molecule processes and facility design. Professional Engineer (PE ... Employment Type: FULL_TIME

Molecular Dynamics (MD) * Kinetic Monte Carlo (kMC) * Phase-field and Monte Carlo simulations ... Additional Information Time Type: Full time Employee Type: Assignee / Regular Travel: Not Specified ...

Showing results 41-60

Full Time Molecular Simulation information

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$11K

$80.7K

$103.5K

How much do full time molecular simulation jobs pay per year?

As of Sep 11, 2026, the average yearly pay for full time molecular simulation in the United States is $80,687.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,000.00 and $98,500.00 per year, depending on experience, location, and employer.

What is a full time molecular simulation job?

Full time molecular simulation jobs involve using computational techniques to model and study the behavior of molecules and materials at the atomic level. Professionals in these roles use specialized software and high-performance computing resources to simulate molecular interactions, predict properties, and analyze results for research or industrial applications. These positions are typically found in academic institutions, pharmaceutical companies, materials science organizations, and research labs, and often require a strong background in chemistry, physics, or computational science.

What are the key skills and qualifications needed to thrive as a full time molecular simulation specialist?

To thrive as a Full-Time Molecular Simulation Specialist, you need a strong background in chemistry, physics, or computational sciences, often supported by a relevant graduate degree. Proficiency with simulation software such as GROMACS, AMBER, or CHARMM, along with experience in programming languages like Python or C++, is typically required. Analytical thinking, problem-solving, and effective communication are essential soft skills for interpreting results and collaborating within multidisciplinary teams. These skills and qualifications ensure accurate modeling of molecular systems and drive innovation in research and development.

How does a full time molecular simulation professional typically collaborate with experimental scientists and other interdisciplinary teams?

In a Full Time Molecular Simulation role, collaboration with experimental scientists and other interdisciplinary teams is essential for validating simulation results and guiding research directions. Professionals in this position often work closely with chemists, biologists, and data analysts to design experiments, interpret simulation data, and refine models based on empirical results. Regular meetings and joint project planning are common, fostering a dynamic environment where simulation findings directly inform experimental approaches and vice versa. This collaborative structure not only enhances the quality of research but also provides opportunities for skill development and cross-disciplinary learning.

What is the difference between Full Time Molecular Simulation vs Full Time Computational Chemist?

AspectFull Time Molecular SimulationFull Time Computational Chemist
Required CredentialsBachelor's or Master's in Chemistry, Physics, or related fields; knowledge of simulation softwareBachelor's or Master's in Chemistry, Chemical Engineering, or related fields; strong computational skills
Work EnvironmentResearch labs, pharmaceutical companies, academiaResearch labs, pharmaceutical companies, academia
Industry UsageFocuses on simulating molecular interactions and behaviorsEncompasses broader computational modeling, including molecular simulations and data analysis

While both roles involve computational work in chemistry, Full Time Molecular Simulation specializes in simulating molecular interactions, whereas Full Time Computational Chemist has a broader scope including various computational modeling techniques. The choice depends on specific job focus and required skills.

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Cities with the most Full Time Molecular Simulation job openings:

What are the most commonly searched types of Molecular Simulation jobs?

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What other helpful pages are available for Full Time Molecular Simulation?

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Infographic showing various Full Time Molecular Simulation job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 86% Full Time, 11% Part Time, and 2% Contract. Highlights an 77% Physical, 3% Hybrid, and 20% Remote job distribution, with an average salary of $80,687 per year, or $38.8 per hour.

Atomistic and Data-Driven Modeling of Materials for Energy Applications - Postdoctoral Researcher

Livermore, CA • On-site

LLNL
Clean Energy Services • 5 - 10K employees

$136K/yr

Full-time

Retirement

Posted 29 days ago


Job description

Company Description
Join us and make YOUR mark on the World!
Lawrence Livermore National Laboratory (LLNL) has turned bold ideas into world-changing impact advancing science and technology to strengthen U.S. security and promote global stability.
Our mission spans four critical national security areas nuclear deterrence, threat preparedness, energy security, and multi-domain defense empowering teams to take on the toughest challenges of today and tomorrow. With a culture built on innovation and operational excellence, LLNL is a place where your expertise can make a real impact.
Job Description
We have multiple openings for Postdoctoral Researcher Positions to conduct mentored research in atomistic and data-driven modeling of materials for energy applications. Key focus areas include investigating reactivity, transport, and phase evolution at heterogeneous interfaces; predicting materials degradation and coupled chemo-electro-mechanical response under operating conditions; understanding electronic properties of materials under non-equilibrium conditions; and developing data science approaches for predicting materials performance across scales. You will work closely with a multidisciplinary team in support of projects sponsored by the Basic Energy Sciences, Transportation Technologies Offices, and Office of Electricity within the Department of Energy, and internal LDRD programs. This position is within the Quantum Simulations Group within the Materials for Emerging Applications and Extreme Conditions section of the Materials Science Division in the Physical and Life Sciences Directorate.
This position requires full-time on-site presence due to the nature of the work.
Note: This is a two-year Postdoctoral appointment with the possibility of extension to a maximum of three years. Eligible candidates are recent PhDs within five years of the month of the degree award at time of hire date.
You will
  • Perform electronic structure theory-based simulations of complex materials, such as oxides and multi-element systems.
  • Perform thermodynamic and kinetic analyses of chemical reactions and phase transitions at surfaces and interfaces.
  • Perform non-equilibrium molecular dynamics simulations & first-principles calculations to study materials response under externally applied stimuli.
  • Derive structure-composition-property relationships using statistical, analytical, and machine-learning based methodologies.
  • Develop machine-learning interatomic potentials and surrogate models based on physics-informed descriptors for property evaluation and prediction.
  • Contribute to the planning, design, and execution of assigned research activities under the guidance of senior scientists and project leadership. Collaborate with computational and experimental scientists in a multidisciplinary team environment to accomplish research goals.
  • Develop increasing technical independence while pursuing research activities aligned with project and program goals; interact with collaborators within and outside the Laboratory. Document research, contribute to peer-reviewed publications, and present results within the DOE community and at conferences/technical meetings.
  • Perform other duties as assigned.

Qualifications
  • Must be eligible to access the Laboratory in compliance with Section 3112 of the National Defense Authorization Act (NDAA). See Additional Information section below for details.
  • Ph.D. degree completed, or anticipated to be completed by the hire date, in Materials Science, Chemistry, Physics, Mechanical Engineering or a related field.
  • Experience in the application of density functional theory and/or advanced electronic structure theory for simulating complex materials, including oxides and multi-element systems
  • Experience performing large-scale molecular dynamics simulations on high-performance computing environments.
  • Additional experience in at least one of the following methods: machine-learning based approaches, cluster expansion, advanced statistical analysis, kinetic Monte Carlo simulations, phase-field modeling, reduced order, descriptor or surrogate model development as relevant to energy related applications.
  • Ability to perform technical assignments with increasing independence, analyze results, and contribute to solutions for defined research problems. Ability to contribute to research directions under mentorship and communicate results effectively through peer-reviewed publications and technical presentations. Proficient verbal and written communication skills to collaborate effectively in a team environment, prepare written reports and present and explain technical information.
  • Interpersonal skills necessary to interact with scientists, engineers and other technical and administrative staff in a collaborative, multidisciplinary team environment.

Qualifications We Desire
  • Experience with computational workflow development and multiscale model integration
  • Experience in modeling highly disordered materials and/or heterogeneous interfaces
  • Experience with AI/ML-enabled materials discovery, surrogate modeling, and generative models.
  • Experience with Bayesian optimization, uncertainty quantification, sensitivity analysis, and Pareto front analysis.
  • Experience supporting DOE consortia or multi-laboratory data integration efforts.

Pay Range
$123,048 Annually
This is the lowest to highest salary we in good faith believe we would pay for this role at the time of this posting. An employee's position within the salary range will be based on several factors including, but not limited to, specific competencies, relevant education, qualifications, certifications, experience, skills, seniority, geographic location, performance, and business or organizational needs.
Additional Information
#LI-Onsite
Position Information
This is a Postdoctoral appointment with the possibility of extension to a maximum of three years, open to those who have been awarded a PhD at time of hire date.
Why Lawrence Livermore National Laboratory?
  • Included in 2026Best Places to Work by Glassdoor!
  • Flexible Benefits Package
  • 401(k)
  • Relocation Assistance
  • Education Reimbursement Program
  • Flexible schedules (*depending on project needs)
  • Our values - visit https://www.llnl.gov/inclusion/our-values

Security Clearance
None required.However, if your assignment is longer than 179 days cumulatively within a calendar year, you must go through the Personal Identity Verification process. This process includes completing an online background investigation form and receiving approval of the background check.
National Defense Authorization Act (NDAA)
The 2025 National Defense Authorization Act (NDAA), Section 3112, generally prohibits citizens of China, Russia, Iran and North Korea without dual US citizenship or legal permanent residence from accessing specific non-public areas of national security or nuclear weapons facilities. The restrictions of NDAA Section 3112 apply to this position. To be qualified for this position, Candidates must be eligible to access the Laboratory in compliance with Section 3112.
Pre-Employment Drug Test
External applicant(s) selected for this position must pass a post-offer, pre-employment drug test. This includes testing for use of marijuana as Federal Law applies to us as a Federal Contractor.
Wireless and Medical Devices
Per the Department of Energy (DOE), Lawrence Livermore National Laboratory must meet certain restrictions with the useand/or possession ofmobile devices in Limited Areas. Depending on your job duties, you may be required to work in a Limited Area whereyou are not permitted to have a personal and/or laboratory mobile devicein your possession. This includes, but not limited to cell phones, tablets, fitness devices, wireless headphones, and other Bluetooth/wireless enabled devices.
Ifyou useamedical device, whichpairs with a mobile device,you must still follow the rules concerningthe mobile device in individual sections within Limited Areas. Sensitive Compartmented Information Facilities requireseparate approval. Hearing aids without wireless capabilities or wireless that has been disabled are allowed in Limited Areas, Secure Space and Transit/Buffer Space within buildings.
How to identify fake job advertisements
Please be aware of recruitment scams where people or entities are misusing the name of Lawrence Livermore National Laboratory (LLNL) to post fake job advertisements. LLNL never extends an offer without a personal interview and will never charge a fee for joining our company. All current job openings are displayed on the Career Page under "Find Your Job" of our website. If you have encountered a job posting or have been approached with a job offer that you suspect may be fraudulent, we strongly recommend you do not respond.
To learn more about recruitment scams: https://www.llnl.gov/sites/www/files/2023-05/LLNL-Job-Fraud-Statement-Updated-4.26.23.pdf
Equal Employment Opportunity
We are an equal opportunity employer that is committed to providing all with a work environment free of discrimination and harassment. All qualified applicants will receive consideration for employment without regard to race, color, religion, marital status, national origin, ancestry, sex, sexual orientation, gender identity, disability, medical condition, pregnancy, protected veteran status, age, citizenship, or any other characteristic protected by applicable laws.
Reasonable Accommodation
Our goal is to create an accessible and inclusive experience for all candidates applying and interviewing at the Laboratory. If you need a reasonable accommodation during the application or the recruiting process, please use our online form to submit a request.
CaliforniaPrivacy Notice
The California Consumer Privacy Act (CCPA) grants privacy rights to all California residents. The law also entitlesjob applicants, employees, and non-employee workers to be notified of what personal information LLNL collects and for what purpose. The Employee Privacy Notice can be accessed here .