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Molecular Dynamics Simulation Remote Jobs in Massachusetts

Computational Materials Scientist

Woburn, MA · On-site +1

$180K - $200K/yr

Atomistic Modeling & Simulation * Conduct and oversee DFT (Density Functional Theory), MD (Molecular Dynamics), and QM (Quantum Mechanics) simulations of battery components, including electrolytes ...

Develop relevant models and constraints to run complex dynamic structural, thermal, or other ... location (if remote or different from the stated location for this position), education and ...

$135K - $152K/yr

Develop relevant models and constraints to run complex dynamic structural, thermal, or other ... location (if remote or different from the stated location for this position), education and ...

Senior Bioinformatician

Boston, MA · On-site +1

$45.17 - $65.74/hr

This role develops mathematical models, conducts dynamic simulations, and analyzes patterns in ... Hearing Constantly (67-100%) Remote Type Hybrid Work Location 75 Francis Street Scheduled Weekly ...

Technical Product Manager

Woburn, MA · On-site +1

$200K - $225K/yr

Work in a dynamic, collaborative, and innovative environment at the intersection of AI and material ... Identify opportunities for leveraging ML force-field models and AI molecular modeling to accelerate ...

College Biology Tutor

Lynn, MA · Remote

$18 - $40/hr

... and molecular genetics, natural selection, and ecosystem dynamics while preparing students for ... Adapts instruction using visual diagrams, virtual lab simulations, and MCAT-aligned practice to ...

... and molecular genetics, natural selection, and ecosystem dynamics while preparing students for ... Adapts instruction using visual diagrams, virtual lab simulations, and MCAT-aligned practice to ...

... and molecular genetics, natural selection, and ecosystem dynamics while preparing students for ... Adapts instruction using visual diagrams, virtual lab simulations, and MCAT-aligned practice to ...

College Biology Tutor

Waltham, MA · Remote

$18 - $40/hr

... and molecular genetics, natural selection, and ecosystem dynamics while preparing students for ... Adapts instruction using visual diagrams, virtual lab simulations, and MCAT-aligned practice to ...

... and molecular genetics, natural selection, and ecosystem dynamics while preparing students for ... Adapts instruction using visual diagrams, virtual lab simulations, and MCAT-aligned practice to ...

College Biology Tutor

Lawrence, MA · Remote

$18 - $40/hr

... and molecular genetics, natural selection, and ecosystem dynamics while preparing students for ... Adapts instruction using visual diagrams, virtual lab simulations, and MCAT-aligned practice to ...

College Biology Tutor

Lowell, MA · Remote

$18 - $40/hr

... and molecular genetics, natural selection, and ecosystem dynamics while preparing students for ... Adapts instruction using visual diagrams, virtual lab simulations, and MCAT-aligned practice to ...

College Biology Tutor

Quincy, MA · Remote

$18 - $40/hr

... and molecular genetics, natural selection, and ecosystem dynamics while preparing students for ... Adapts instruction using visual diagrams, virtual lab simulations, and MCAT-aligned practice to ...

College Biology Tutor

Boston, MA · Remote

$18 - $40/hr

... and molecular genetics, natural selection, and ecosystem dynamics while preparing students for ... Adapts instruction using visual diagrams, virtual lab simulations, and MCAT-aligned practice to ...

College Biology Tutor

Newton, MA · Remote

$18 - $40/hr

... and molecular genetics, natural selection, and ecosystem dynamics while preparing students for ... Adapts instruction using visual diagrams, virtual lab simulations, and MCAT-aligned practice to ...

Senior Engineer, Process Validation

Boston, MA · On-site +1

$100K - $130K/yr

... simulation, sterile filling, visual inspection, container closure integrity testing, filter ... We recognize the benefits of flexible, remote working arrangements for eligible roles and are ...

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Molecular Dynamics Simulation Remote information

What is a molecular dynamics simulation remote?

A Molecular Dynamics Simulation Remote job involves using computational methods to simulate and analyze the physical movements of atoms and molecules, typically in the fields of chemistry, biology, or materials science. These roles are performed remotely, allowing professionals to work from anywhere while running simulations, analyzing data, and collaborating with research teams online. Key responsibilities often include setting up simulations, interpreting results, writing reports, and sometimes developing new algorithms or software tools. Remote positions require strong technical skills, proficiency in simulation software, and effective communication abilities to coordinate with other researchers or stakeholders. This job is ideal for individuals who are detail-oriented, self-motivated, and comfortable working independently.

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

To thrive as a Molecular Dynamics Simulation Remote specialist, you need a strong background in computational chemistry, physics, or related fields, often supported by an advanced degree. Proficiency with simulation software like GROMACS, AMBER, or LAMMPS, and experience with high-performance computing environments, are typically required. Excellent analytical thinking, problem-solving abilities, and effective remote communication skills help you stand out in collaborative research projects. Mastery of these skills ensures accurate modeling, efficient project execution, and productive teamwork across distributed research environments.

What are some common challenges faced when working remotely as a molecular dynamics simulation specialist, and how can they be addressed?

Working remotely in Molecular Dynamics Simulation often involves challenges such as managing access to high-performance computing resources, collaborating effectively with team members across time zones, and maintaining clear communication regarding simulation objectives and results. To address these, it's helpful to become proficient with remote desktop tools, secure VPNs, and cloud-based computing platforms. Regular virtual meetings and thorough documentation can ensure that projects stay on track and everyone remains aligned on research goals. Building a structured workflow and fostering open communication with colleagues are key to overcoming remote work hurdles in this field.

What are the applications of molecular dynamics simulation?

Molecular dynamics simulation is used by professionals in the field to study the behavior of molecules and materials at an atomic level, aiding in drug design, materials development, and understanding biological processes. It helps predict molecular interactions, stability, and properties, often utilizing specialized software and high-performance computing resources.

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

The most popular types of Molecular Dynamics Simulation jobs in Massachusetts are:

What are popular job titles related to Molecular Dynamics Simulation Remote jobs in Massachusetts?

For Molecular Dynamics Simulation Remote jobs in Massachusetts, the most frequently searched job titles are:

What job categories do people searching Molecular Dynamics Simulation Remote jobs in Massachusetts look for?

The top searched job categories for Molecular Dynamics Simulation Remote jobs in Massachusetts are:

What cities in Massachusetts are hiring for Molecular Dynamics Simulation Remote jobs?

Cities in Massachusetts with the most Molecular Dynamics Simulation Remote job openings:

Computational Materials Scientist

SES

Woburn, MA • On-site, Remote

$180K - $200K/yr

Full-time

Medical

Re-posted 7 days ago


Key responsibilities

  • Conduct and oversee DFT, MD, and QM simulations of battery components including electrolytes, coatings, and electrodes.

  • Generate high-quality structured simulation data for AI property prediction models and automate simulation workflows.

  • Collaborate with experimental teams and utilize advanced simulation tools to validate models and drive design iteration.


Job description

SES AI Corp. (NYSE: SES) is dedicated to accelerating the world's energy transition through groundbreaking material discovery and advanced battery management. We are at the forefront of revolutionizing battery creation, pioneering the integration of cutting-edge machine learning into our research and development. Our AI-enhanced, high-energy-density and high-power-density Li-Metal and Li-ion batteries are unique; they are the first in the world to utilize electrolyte materials discovered by AI. This powerful combination of "AI for science" and material engineering enables batteries that can be used across various applications, including transportation (land and air), energy storage, robotics, and drones.
To learn more about us, please visit: www.ses.ai
What We Offer:
  • A highly competitive salary and robust benefits package, including comprehensive health coverage and an attractive equity/stock options program within our NYSE-listed company.
  • The opportunity to contribute directly to a meaningful scientific project-accelerating the global energy transition-with a clear and broad public impact.
  • Work in a dynamic, collaborative, and innovative environment at the intersection of AI and material science, driving the next generation of battery technology.
  • Significant opportunities for professional growth and career development as you work alongside leading experts in AI, R&D, and engineering.
  • Access to state-of-the-art facilities and proprietary technologies are used to discover and deploy AI-enhanced battery solutions.

What we Need:
The SES AI Prometheus team isseeking an exceptional Computational Materials Scientist to combine physics-based simulation (DFT, MD, quantum modeling) with AI-assisted material prediction to generate high-quality training data and accelerate materials discovery. This role is crucial for advancing our understanding of electrochemical energy materials at the atomic level. As a Computational Materials Scientist, you will be a core data-driven modeler responsible for executing and automating complex simulations.
Essential Duties and Responsibilities:
  • Atomistic Modeling & Simulation
  • Conduct and oversee DFT (Density Functional Theory), MD (Molecular Dynamics), and QM (Quantum Mechanics) simulations of battery components, including electrolytes, coatings, and electrodes.
  • Develop and refine ML-enhanced force fields and surrogate models to accelerate simulation time scales and enable multi-scale simulation efforts.
  • Apply expertise in atomistic simulation and quantum modeling to solve key challenges in electrochemical energy materials (e.g., batteries/fuel cells).
  • AI Data Generation & Prediction
  • Generate high-quality, structured simulation data to serve as training sets for AI property prediction models and material screening modules.
  • Contribute to the development of battery domain LLM features and advanced property-prediction models.
  • Automate complex simulation workflows using strong coding practices to enhance efficiency and scalability.
  • Collaboration & Tooling
  • Collaborate with experimental teams, leveraging a hybrid computational + experimental literacy to validate models and drive design iteration.
  • Utilize advanced simulation tools (VASP, Quantum Espresso) and data science libraries (TensorFlow, Pandas) to manage and analyze large datasets.

Education and/or Experience:
  • Education: Ph.D. in Mechanical Engineering, Materials Science, Chemical Engineering, or a closely related computational/physics field.
  • Core Simulation Expertise: Deep and extensive experience in atomistic simulation and quantum modeling, including proficiency with key QM/DFT tools (VASP, Quantum Espresso) and MD simulations.
  • Domain Focus: Strong background in electrochemical energy materials and extensive computational work focused on batteries/fuel cells.
  • Coding Proficiency: Strong coding skills in Python (along with related libraries like Pandas and TensorFlow) for simulation workflow automation and data analysis.
  • ML Application: Experience in developing or utilizing ML-enhanced force fields and surrogate models for materials prediction., or equivalent practical experience.

Preferred Qualifications:
  • LLM Development: Experience in developing battery domain LLM features or property-prediction models.
  • Hybrid Skillset: Demonstrated experience working in a hybrid computational + experimental environment.
  • Tooling Diversity: Familiarity with additional data analysis tools like R, SQL, MATLAB, and time-series forecasting libraries like Prophet.
  • Target Background: Previous experience at national laboratories, XtalPi, Entalpic, or deep battery modeling groups.

The salary range for this position as required under applicable pay transparency laws.
Salary Range
$180,000-$200,000 USD