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Molecular Dynamics Simulation Intern Jobs (NOW HIRING)

1910

Computational Theoretical Chemist II

Boston, MA · On-site

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 ...

1910

Computational Theoretical Chemist III

Boston, MA · On-site

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 ...

1910

Computational Theoretical Chemist II

Boston, MA

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 ...

UNC-Chapel Hill

Open Rank

Chapel Hill, NC

... and molecular dynamics simulations) is required. The successful candidate will develop a research program characterizing how genetic variants of neuroreceptors modulate medication binding and ...

1910

Computational Theoretical Chemist I

Boston, MA

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 ...

Topos Bio

Computational Chemist

San Francisco, CA · On-site

Design and run molecular dynamics simulations, applying enhanced sampling methods to characterize protein-ligand binding and conformational dynamics * Engineer and optimize data pipelines that handle ...

1910

Computational Theoretical Chemist I

Boston, MA · On-site

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 ...

1910

Computational Theoretical Chemist I

Boston, MA · On-site

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 ...

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Molecular Dynamics Simulation Intern information

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How much do molecular dynamics simulation intern jobs pay per hour?

As of Jun 9, 2026, the average hourly pay for molecular dynamics simulation intern in the United States is $15.54, according to ZipRecruiter salary data. Most workers in this role earn between $12.50 and $17.55 per hour, depending on experience, location, and employer.

What types of projects and responsibilities can I expect as a Molecular Dynamics Simulation Intern?

As a Molecular Dynamics Simulation Intern, you can expect to work on projects involving the setup, execution, and analysis of molecular simulations to study the behavior of biological or materials systems at the atomic level. Your daily tasks may include preparing input files, running simulation jobs, analyzing output data, and collaborating with researchers to refine computational models. You'll often work closely with experienced scientists and fellow interns, gaining hands-on experience with advanced simulation tools. This role offers valuable opportunities to develop technical expertise and contribute to ongoing research, which can open doors to future academic or industry positions in computational science.

What are the key skills and qualifications needed to thrive in the Molecular Dynamics Simulation Intern position, and why are they important?

To thrive as a Molecular Dynamics Simulation Intern, you need a solid background in chemistry, physics, or related fields, along with knowledge of molecular modeling concepts. Familiarity with simulation software such as GROMACS, LAMMPS, or AMBER and basic programming skills in Python or C++ are often required. Strong analytical thinking, attention to detail, and effective communication are valuable soft skills for interpreting results and collaborating with research teams. These competencies are crucial for performing accurate simulations, troubleshooting computational issues, and contributing meaningfully to scientific projects.

What is a Molecular Dynamics Simulation Intern job?

A Molecular Dynamics (MD) Simulation Intern assists in computational modeling of molecular systems to study their behavior over time. This typically involves using software like GROMACS, LAMMPS, or AMBER to run simulations, analyze results, and validate them against experimental data. Interns may work on optimizing simulation parameters, scripting automation workflows, or visualizing molecular interactions. The role is crucial in fields like drug discovery, material science, and biophysics, helping researchers understand molecular mechanisms at an atomic level.

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Molecular Dynamics Simulation Intern jobs near you
Infographic showing various Molecular Dynamics Simulation Intern job openings in the United States as of May 2026, with employment types broken down into 2% As Needed, 53% Full Time, 35% Part Time, 6% Temporary, and 4% Contract. Highlights an 78% Physical, 4% Hybrid, and 18% Remote job distribution, with an average salary of $32,333 per year, or $15.5 per hour.

Computational Theoretical Chemist II

1910

Boston, MA • On-site

Full-time

PTO

Posted 14 days ago

Job description

Company Overview
We are the only AI-native biotech, pioneering small and large molecule therapeutics discovery by integrating massive multimodal data, frontier AI models, and high-throughput lab automation into an infrastructure for AI-enabled drug discovery.
We hire top 1% talent to join our interdisciplinary team of scientists, engineers, researchers, operators, innovators, drug developers, business professionals, and technologists.
Join us to build the world's first AI infrastructure for tech-enabled drug discovery and to deliver a pipeline of diverse drug modalities for all major disease areas.
Computation is revolutionizing drug discovery. 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 of drug discovery, blending expertise in computational chemistry, structural biology, pharmacology, data science, and software engineering to develop drugs for previously undruggable targets.
Role Description
  • Own computational chemistry programs across therapeutic modalities, disease targets, and indications
  • Ensure effective collaboration with the Biology and Medicinal Chemistry teams by providing key computational chemistry insights to aid in the Hit-to-Lead and Lead Optimization phases of drug discovery operations
  • Ensure effective collaboration with the ML Engineering and AI Research team by providing key computational chemistry insights to aid in the development of AI/ML models for drug discovery as well as the incorporation of those models into drug discovery operations
  • Teach key computational chemistry principles to your cross-disciplinary colleagues from Medicinal Chemistry, AI Research, Machine Learning Engineering, Cell Biology, and Pharmacology
  • Partner to improve 1910's existing process for progressing from computational hit to experimental hit to lead to drug candidate
  • Co-author provisional patents and peer-reviewed research papers
  • Progress a virtual hit to a biochemical/cellular hit
  • Validate a cellular hit in a clinically relevant animal model of disease
  • Update provisional patents with the animal model data
  • Nominate a lead candidate for progression into IND-enabling studies
  • Attend and present research at conferences and events related to computational modeling in drug discovery

Qualifications
  • Ph.D. in computational chemistry or related discipline
  • 2 years of relevant industry experience within drug discovery or biotechnology
  • Played a key role in advancing a drug discovery program from early research phases to clinical development
  • In-depth knowledge and hands-on experience with quantum chemical (QC) methods, including semi-empirical and density functional theory (DFT) approaches, molecular dynamics (MD) simulations, including both standard MD and enhanced sampling techniques such as metadynamics, umbrella sampling, and replica exchange MD, free energy simulations such as FEP and TI, and QM/MM methodologies for small and large molecular systems
  • Strong understanding of key concepts, including potential energy surfaces (PES), intermolecular and intramolecular forces/interactions, force fields, molecular properties, thermodynamic properties, solvation models (implicit/explicit), and conformational sampling
  • Proficiency in analyzing molecular properties such as solvation free energy, dipole moments, vibrational frequencies, electrostatic potential, charge distribution, and more.
  • Deep knowledge of implicit and explicit solvent models, with extensive experience modeling solvent effects on molecular systems and chemical reactions in various environments
  • Extensive experience in using and troubleshooting software tools for QC calculations (e.g., ORCA, xTB, CREST, etc.), MD simulations (e.g., GROMACS, OpenMM, etc.), Drug Design Development Packages (e.g., EG, Schrodinger, MOE, CRESSET)
  • Experience working with HPC Clusters and cloud-based services like (e.g., Microsoft AZURE, AWS)
  • Ability to optimize computational simulation protocols for efficient resource usage
  • Proven experience working with small organic molecules and large biomolecular systems (e.g., peptides, proteins, etc.) for property prediction, conformational analysis, and structure-activity relationships (SAR)
  • Hands-on experience with Python and Bash scripting for automating workflows and data analysis
  • Familiarity with cheminformatics toolkits such as RDKit for molecular property prediction and data management
  • Basic knowledge of machine learning (ML) techniques applied to molecular property prediction, virtual screening, and related tasks
  • Strong desire to collaborate with AI scientists, data scientists, medicinal chemists, and biologists to interpret computational results and guide experimental design
  • Clear and effective communication of complex scientific ideas through reports, presentations, and publications

Nice to Haves
  • Publications in computational chemistry related to drug discovery

#LI-Onsite
Diversity and Inclusion (1910's Promise)
At 1910, we believe that a diverse, equitable, and inclusive workplace furthers relevance, resilience, and longevity. We encourage people from all backgrounds, ages, abilities, and experiences to apply. 1910 is proud to be an equal-opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. If, due to a disability, you need an accommodation during any part of the interview process, please let your recruiter know. While 1910 supports visa sponsorship, sponsorship opportunities may be limited to certain roles and skills.
Benefits and Perks
  • Competitive compensation package
  • Above market benefits
  • Generous vacation and parental leave
  • Super cool team building activities
  • Great colleagues

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