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Entry Level Molecular Dynamics Simulation Jobs (NOW HIRING)

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 ...

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

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 ...

Specifically, the researcher will perform molecular dynamics simulations and create machine learning models to extract information and make predictions based on biochemical data and physicochemical ...

Specifically, the researcher will perform molecular dynamics simulations and create machine learning models to extract information and make predictions based on biochemical data and physicochemical ...

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Entry Level Molecular Dynamics Simulation information

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$39K

$123.4K

$190.5K

How much do entry level molecular dynamics simulation jobs pay per year?

As of Jul 15, 2026, the average yearly pay for entry level molecular dynamics simulation in the United States is $123,399.00, according to ZipRecruiter salary data. Most workers in this role earn between $92,000.00 and $146,500.00 per year, depending on experience, location, and employer.

What is the difference between Entry Level Molecular Dynamics Simulation vs Entry Level Computational Chemist?

AspectEntry Level Molecular Dynamics SimulationEntry Level Computational Chemist
Required CredentialsBachelor's in Chemistry, Physics, or related field; basic knowledge of simulation softwareBachelor's in Chemistry, Chemical Engineering, or related; familiarity with computational tools
Work EnvironmentResearch labs, academic institutions, industry R&DResearch labs, pharmaceutical companies, academic settings
Industry UsageMaterial science, biochemistry, pharmaceuticalsDrug 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?

In an entry-level molecular dynamics simulation position, you can expect to spend much of your day setting up and running computational experiments, analyzing simulation data, and troubleshooting issues with simulation software. You'll likely collaborate closely with more senior researchers, computational scientists, and sometimes experimentalists to ensure your simulations align with project goals. Documentation and reporting of your findings are also important, as is staying updated on new methodologies and tools in the field. Over time, you'll gain opportunities to contribute to research publications and take on more complex simulation projects.

What are entry level molecular dynamics simulation jobs?

Entry level molecular dynamics simulation jobs involve using computational methods to model the physical movements of atoms and molecules. These positions are typically suitable for recent graduates or those new to the field, and may include tasks such as setting up simulations, analyzing data, and assisting with research projects in fields like chemistry, biology, or materials science. Entry level roles often require a background in a relevant scientific discipline, familiarity with simulation software, and basic programming skills. These jobs provide a foundation for gaining expertise in computational research and can lead to more advanced positions in academia or industry.

What are the key skills and qualifications needed to thrive as an Entry Level Molecular Dynamics Simulation professional, and why are they important?

To thrive as an Entry Level Molecular Dynamics Simulation professional, you need a solid background in physics, chemistry, or materials science, often supported by a relevant bachelor's or master's degree. Familiarity with simulation software such as GROMACS, LAMMPS, or AMBER, as well as proficiency in programming languages like Python or C++, is typically required. Analytical thinking, attention to detail, and strong problem-solving abilities are crucial soft skills that set candidates apart. These combined skills ensure accurate simulation results, effective troubleshooting, and meaningful scientific insights in research or industrial applications.
More about Entry Level Molecular Dynamics Simulation jobs
What cities are hiring for Entry Level Molecular Dynamics Simulation jobs? Cities with the most Entry Level Molecular Dynamics Simulation job openings:
What are the most commonly searched types of Molecular Dynamics Simulation jobs? The most popular types of Molecular Dynamics Simulation jobs are:
Infographic showing various Entry Level Molecular Dynamics Simulation job openings in the United States as of July 2026, with employment types broken down into 83% Full Time, 16% Part Time, and 1% Contract. Highlights an 80% Physical, 3% Hybrid, and 17% Remote job distribution, with an average salary of $123,399 per year, or $59.3 per hour.
Molecular Dynamics | Machine Learning Researcher

Molecular Dynamics | Machine Learning Researcher

StaffRight Associates, LLC

Manhattan, NY โ€ข On-site

Other

Posted yesterday

New


Job description

Preface

Innovation in investment and technology research demands more than just dataโ€”it requires the seamless convergence of machine learning, computational chemistry, and biophysics and high-stakes execution. At the core of this firm, the challenge is not merely managing systems, but architecting the infrastructure that enables breakthroughs.

StaffRight Associates is sourcing for a world-class firm where computational excellence is the standard. We are seeking an elite professional to join the Machine Learning Research team. This is not a support role; it is a strategic position for a candidate who thrives in a research-intensive environment and understands that technical precision is the backbone of global-scale problem-solving.

Academic & Research Pedigree

Our clientโ€™s environment demands exceptional intellectual rigor. While academic achievements are highly valued, StaffRight Associates is specifically targeting elite candidates who possess advanced degrees (Masterโ€™s or Ph.D.) in quantitative or STEM-related disciplines. Additionally, a strong track record of published research, hands-on academic exploration, or innovative technical contributions in high-performance computing, quantitative finance, or advanced technology sectors is highly preferred.

The Mission

As a Molecular Dynamics โ€“ Machine Learning Researcher, you will act as a force multiplier for the team. Your mission is to eliminate systemic friction, allowing leadership to maintain an absolute focus on accelerating drug discovery, biomolecular simulation, and deep learning-driven molecular design.

You will transform abstract organizational challenges into high-impact, actionable outcomes. Working at the intersection of proprietary architecture and sophisticated algorithms, you will ensure that the firmโ€™s technical output consistently pushes the boundaries of computational biochemistry and molecular biology.

Core Technical Objectives
  • Orchestrate Systemic Workflows: Own and execute complex, high-stakes protocols to ensure seamless operational velocity for the Machine Learning Research group.

  • Distill Complex Data: Spearhead technical research, translating multifaceted bio-computational and structural information into precise deep learning frameworks that drive strategic decisions.

  • Optimize Frameworks: Validate and refine intricate technical requirements, ensuring systemic accuracy, structural modeling fidelity, and operational resilience.

  • Engineer Multi-Project Solutions: Navigate concurrent projects using a proactive Goal-Execution-Mapping (GEM) approach to preempt bottlenecks across modeling, validation, and supercomputer deployment.

  • Facilitate Elite Communication: Serve as a key interface between the technical/scientific committee and critical stakeholders, upholding the highest standards of professional discretion.

Candidate DNA
  • Architectural Mindset: You approach complex deep learning and biophysical problems with a focus on scale, efficiency, and resilience, executing with autonomous precision under pressure.

  • Proactive Problem-Solving: You don''''''''t just react to issues; you anticipate systemic model bottlenecks (e.g., in protein folding, generative chemistry, or force field accuracy) and resolve them before they impact the research pipeline.

  • Communication Precision: You translate complex technical conceptsโ€”such as neural network architectures, quantum chemistry models, or molecular dynamics trajectoriesโ€”into clear, articulate insights for elite scientific and business minds.

  • Cross-Functional Agility: You pivot effortlessly between rigorous, hands-on python development and deep scientific inquiry, maintaining momentum in a high-performance ecosystem.

The Opportunity

This is a unique opportunity to collaborate with world-class chemists, biologists, and computer scientists to expand the groupโ€™s efforts applying machine learning to drug discovery, biomolecular simulation, and biophysics.

What You Will Do
  • Develop advanced deep learning techniques applied to molecular systems.

  • Contribute to a rapidly growing ML research effort that has already successfully published neural networks improving quantum chemistry model accuracy and trained deep learning models to generate optimized molecules for drug discovery.

  • Work alongside specialized, proprietary technologyโ€”including multiple generations of the special-purpose supercomputer, which executes molecular dynamics simulations orders of magnitude faster than conventional systems.

What We Are Looking For
  • Strong Programming Skills: Outstanding Python programming abilities are a baseline requirement.

  • Domain Alignment: Experience in molecular dynamics, structural biology, medicinal chemistry, cheminformatics, and/or quantum chemistry is highly preferred.

  • Note: Specific knowledge of all these domains is less critical than intellectual curiosity, versatility, and a proven track record of achievement and innovation in the broader field of machine learning.

  • Collaborative Mindset: A desire to contribute to a stimulating, positive, and deeply collaborative research culture.

Partnering with StaffRight Associates

At StaffRight Associates, we operate at the nexus of technical alignment and structural execution. We do more than match resumes to keywords; we map your specific engineering DNA to the most demanding challenges in the industry.

When you partner with us, you are collaborating with an elite team that understands the nuances of high-stakes innovation. We are committed to placing talent where their contributions drive meaningful, systemic impact.