Demonstrated expertise with molecular dynamics, Monte Carlo, and/or kinetic simulation software and frameworks (LAMMPS, GROMACS, OpenMM, HOOMD, etc.). * Solid programming skills and experience with ...
Demonstrated expertise with molecular dynamics, Monte Carlo, and/or kinetic simulation software and frameworks (LAMMPS, GROMACS, OpenMM, HOOMD, etc.). * Solid programming skills and experience with ...
... dynamics, enhanced sampling (metadynamics, replica exchange, umbrella sampling), and free energy ... in molecular simulation, including MD, enhanced sampling, and/or free energy methods using tools ...
... dynamics, enhanced sampling (metadynamics, replica exchange, umbrella sampling), and free energy ... in molecular simulation, including MD, enhanced sampling, and/or free energy methods using tools ...
Research Scientist I/II, Statistical Mechanics and Dynamics
Cambridge, MA · On-site
$176K - $234K/yr
Demonstrated expertise with molecular dynamics, Monte Carlo, and/or kinetic simulation software and frameworks (LAMMPS, GROMACS, OpenMM, HOOMD, etc.). * Solid programming skills and experience with ...
Research Scientist I/II, Statistical Mechanics and Dynamics
Cambridge, MA · On-site
$176K - $234K/yr
Demonstrated expertise with molecular dynamics, Monte Carlo, and/or kinetic simulation software and frameworks (LAMMPS, GROMACS, OpenMM, HOOMD, etc.). * Solid programming skills and experience with ...
Perform molecular dynamics simulations of chemically modified oligonucleotide duplexes and single-stranded species to characterize the structural and thermodynamic consequences of sugar, backbone ...
Perform molecular dynamics simulations of chemically modified oligonucleotide duplexes and single-stranded species to characterize the structural and thermodynamic consequences of sugar, backbone ...
Advances in big chemical data, massive computing power, artificial intelligence, and molecular dynamics simulation are changing the way we develop new drugs. At 1910 , we put computation at the heart ...
Advances in big chemical data, massive computing power, artificial intelligence, and molecular dynamics simulation are changing the way we develop new drugs. At 1910 , we put computation at the heart ...
Develop and apply scalable molecular dynamics (MD) and multiscale simulation workflows for biomolecular systems (proteins, enzymes, membranes, and complexes) * Integrate AI/ML approaches with physics ...
Develop and apply scalable molecular dynamics (MD) and multiscale simulation workflows for biomolecular systems (proteins, enzymes, membranes, and complexes) * Integrate AI/ML approaches with physics ...
Technical Development Principal Scientist - Computational Biophysics
South San Francisco, CA · On-site
$120K - $224K/yr
Our unique focus on physics-based simulations, specifically Molecular Dynamics, allows us to help develop and deliver better medicines by reducing problem spaces even in the absence of sizable ...
Technical Development Principal Scientist - Computational Biophysics
South San Francisco, CA · On-site
$120K - $224K/yr
Our unique focus on physics-based simulations, specifically Molecular Dynamics, allows us to help develop and deliver better medicines by reducing problem spaces even in the absence of sizable ...
Ph.d StudentResearcher Stipend
New York, NY · On-site
$48K/yr
The evaluation of the lead targets will be performed by running Molecular Dynamic Simulation to test how it's affecting the function of the ion channel in terms of ion conductance or ion influx. The ...
Ph.d StudentResearcher Stipend
New York, NY · On-site
$48K/yr
The evaluation of the lead targets will be performed by running Molecular Dynamic Simulation to test how it's affecting the function of the ion channel in terms of ion conductance or ion influx. The ...
Technical Development Principal Scientist - Computational Biophysics
South San Francisco, CA · On-site
$120K - $224K/yr
Our unique focus on physics-based simulations, specifically Molecular Dynamics, allows us to help develop and deliver better medicines by reducing problem spaces even in the absence of sizable ...
Technical Development Principal Scientist - Computational Biophysics
South San Francisco, CA · On-site
$120K - $224K/yr
Our unique focus on physics-based simulations, specifically Molecular Dynamics, allows us to help develop and deliver better medicines by reducing problem spaces even in the absence of sizable ...
Develop and apply scalable molecular dynamics (MD) and multiscale simulation workflows for biomolecular systems (proteins, enzymes, membranes, and complexes) * Integrate AI/ML approaches with physics ...
Develop and apply scalable molecular dynamics (MD) and multiscale simulation workflows for biomolecular systems (proteins, enzymes, membranes, and complexes) * Integrate AI/ML approaches with physics ...
Advances in big chemical data, massive computing power, artificial intelligence, and molecular dynamics simulation are changing the way we develop new drugs. At 1910 , we put computation at the heart ...
Advances in big chemical data, massive computing power, artificial intelligence, and molecular dynamics simulation are changing the way we develop new drugs. At 1910 , we put computation at the heart ...
Advances in big chemical data, massive computing power, artificial intelligence, and molecular dynamics simulation are changing the way we develop new drugs. At 1910 , we put computation at the heart ...
Quick apply
Advances in big chemical data, massive computing power, artificial intelligence, and molecular dynamics simulation are changing the way we develop new drugs. At 1910 , we put computation at the heart ...
... and molecular dynamics simulations) is required. The successful candidate will develop a research program characterizing how genetic variants of neuroreceptors modulate medication binding and ...
... and molecular dynamics simulations) is required. The successful candidate will develop a research program characterizing how genetic variants of neuroreceptors modulate medication binding and ...
Post Doctoral Fellow, Perilla Lab
Newark, DE · On-site
$47K - $65K/yr
Preference will be given to applications with expertise in 1) protein dynamics; 2) molecular dynamics simulations; and 3) high-performance computing environments. Prior programming experience is ...
Post Doctoral Fellow, Perilla Lab
Newark, DE · On-site
$47K - $65K/yr
Preference will be given to applications with expertise in 1) protein dynamics; 2) molecular dynamics simulations; and 3) high-performance computing environments. Prior programming experience is ...
Advances in big chemical data, massive computing power, artificial intelligence, and molecular dynamics simulations are changing the way we develop new drugs. At 1910 , we put computation at the ...
Advances in big chemical data, massive computing power, artificial intelligence, and molecular dynamics simulations are changing the way we develop new drugs. At 1910 , we put computation at the ...
Post Doctoral Fellow, Perilla Lab
Newark, DE · On-site
$47K - $65K/yr
Preference will be given to applications with expertise in 1) protein dynamics; 2) molecular dynamics simulations; and 3) high-performance computing environments. Prior programming experience is ...
Post Doctoral Fellow, Perilla Lab
Newark, DE · On-site
$47K - $65K/yr
Preference will be given to applications with expertise in 1) protein dynamics; 2) molecular dynamics simulations; and 3) high-performance computing environments. Prior programming experience is ...
The GRA will integrate experimental diffraction data with molecular dynamics (MD) simulations to validate and interpret measurements. A significant component of the work involves developing forward ...
The GRA will integrate experimental diffraction data with molecular dynamics (MD) simulations to validate and interpret measurements. A significant component of the work involves developing forward ...
The GRA will integrate experimental diffraction data with molecular dynamics (MD) simulations to validate and interpret measurements. A significant component of the work involves developing forward ...
The GRA will integrate experimental diffraction data with molecular dynamics (MD) simulations to validate and interpret measurements. A significant component of the work involves developing forward ...
ML Researcher | Molecular Dynamics
Manhattan, NY · On-site
$300K - $900K/yr
... Simulation, Drug Discovery, and Computational Biophysics . You will be tasked with the ... Molecular Biology . Core Technical Objectives * Orchestrate Systemic Workflows: Formalize and ...
ML Researcher | Molecular Dynamics
Manhattan, NY · On-site
$300K - $900K/yr
... Simulation, Drug Discovery, and Computational Biophysics . You will be tasked with the ... Molecular Biology . Core Technical Objectives * Orchestrate Systemic Workflows: Formalize and ...
Knowledge and research experience with advanced molecular dynamics simulation techniques, quantum mechanical calculations and the site identification of ligand competitive saturation (SILCS ...
Knowledge and research experience with advanced molecular dynamics simulation techniques, quantum mechanical calculations and the site identification of ligand competitive saturation (SILCS ...
Entry Level Molecular Dynamics Simulation information
See salary details
$39K - $52.8K
0% of jobs
$52.8K - $66.5K
0% of jobs
$66.5K - $80.3K
11% of jobs
$92.5K is the 25th percentile. Wages below this are outliers.
$80.3K - $94.1K
16% of jobs
$94.1K - $107.9K
16% of jobs
The median wage is $116.8K / yr.
$107.9K - $121.6K
11% of jobs
$121.6K - $135.4K
14% of jobs
$143.2K is the 75th percentile. Wages above this are outliers.
$135.4K - $149.2K
13% of jobs
$149.2K - $163K
4% of jobs
$163K - $176.7K
13% of jobs
$176.7K - $190.5K
2% of jobs
$39K
$123.4K
$190.5K
How much do entry level molecular dynamics simulation jobs pay per year?
What is the difference between Entry Level Molecular Dynamics Simulation vs Entry Level Computational Chemist?
| Aspect | Entry Level Molecular Dynamics Simulation | Entry Level Computational Chemist |
|---|---|---|
| Required Credentials | Bachelor's in Chemistry, Physics, or related field; basic knowledge of simulation software | Bachelor's in Chemistry, Chemical Engineering, or related; familiarity with computational tools |
| Work Environment | Research labs, academic institutions, industry R&D | Research labs, pharmaceutical companies, academic settings |
| Industry Usage | Material science, biochemistry, pharmaceuticals | Drug discovery, materials research, chemical analysis |
Both roles involve computational work in chemistry-related fields, but Molecular Dynamics Simulation focuses specifically on simulating molecular interactions over time, while Computational Chemists may perform a broader range of modeling and analysis tasks. The choice depends on your interest in dynamic simulations versus general computational chemistry applications.
What are the typical day-to-day tasks for someone in an entry-level molecular dynamics simulation role?
What are entry level molecular dynamics simulation jobs?
What are the key skills and qualifications needed to thrive as an Entry Level Molecular Dynamics Simulation professional, and why are they important?
- Entrylevel Flight Dynamics Engineer
- Freelance Helicopter Flight Engineer
- Volunteer Aiops Engineer Salary
- Home Based Finite Element Analysis Fea Engineer
- Remote Msc Physics
- New Graduate Software Engineer
- Entry Level Software Engineer 150K
- Entry Level Game Simulation Programming
- Non Exempt Finite Element Analysis Fea Engineer
- Matlab Simulation Engineer

Other
Posted 28 days ago
Job description
Your Impact at LILA
Your role in our Physical Sciences division will focus on designing and implementing state-of-the-art simulation approaches to model transport, kinetics, rare events, and reaction networks, and integrating them with AI-driven platforms for materials discovery. Your work will be integral to our efforts in predicting, designing, and controlling the behavior of complex materials and molecular systems, and their acceleration via agentic AI. You will partner with diverse teams at Lila, including machine learning experts working on scientific superintelligence and materials science experts performing real-world experiments.
What You'll Be Building
- Develop and extend molecular dynamics and Monte Carlo algorithms to capture rare events, non-equilibrium processes, transport phenomena, and mapping complex reaction networks.
- Build scalable simulation workflows that integrate statistical mechanics methods with machine learned interatomic potentials and agentic AI frameworks.
- Design methods for coupling dynamics simulations with experimental observables to enable closed-loop verification and discovery with automated labs.
- Collaborate with computational scientists, machine learning experts, and platform engineers to advance the fidelity and scalability of simulation-driven materials discovery.
- Establish reproducible, modular software pipelines for statistical mechanics and dynamics simulations that can be deployed on HPC and cloud-based infrastructure.
What You'll Need to Succeed
- PhD or equivalent research/industry experience in Physics, Chemistry, Chemical Engineering, Mechanical Engineering, Applied Mathematics, or related fields.
- Strong background in statistical mechanics, free energy calculations, reaction mapping, non-equilibrium dynamics, and rare-event sampling.
- Demonstrated expertise with molecular dynamics, Monte Carlo, and/or kinetic simulation software and frameworks (LAMMPS, GROMACS, OpenMM, HOOMD, etc.).
- Solid programming skills and experience with scientific computing (Python, C/C++, MPI, CUDA, etc.).
- Experience running and automating simulations on HPC and/or cloud environments at scale.
Bonus Points For
- Strong publication record applying advanced statistical mechanics or dynamics simulations to molecular and materials systems, including but not limited to molecular/biomolecular systems and solid-state materials and interfaces.
- Prior work in coupling dynamics simulations with data-driven, AI-based, and/or agentic frameworks.
- Good familiarity with machine learning frameworks (PyTorch, JAX, TensorFlow, etc.)
- Prior experience working with machine learned interatomic potentials, including model training, fine-tuning, and data generation
- Worked closely with experimental teams to extract and corroborate experimental observables from dynamics simulations