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$80.7K

$103.5K

How much do molecular dynamics jobs pay per year?

As of Jun 15, 2026, the average yearly pay for molecular dynamics 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 Molecular Dynamics job?

A Molecular Dynamics job typically involves using computational simulations to study the physical movements of atoms and molecules. Professionals in this field use specialized software and high-performance computing to analyze molecular interactions in fields like drug discovery, materials science, and biophysics. They may work in academia, pharmaceuticals, or research labs to model molecular behavior and predict system properties. Strong backgrounds in physics, chemistry, and programming are often required.

What are the typical projects and daily responsibilities of someone working in Molecular Dynamics?

Professionals in Molecular Dynamics frequently work on computational research projects that involve simulating the behavior of molecules to gain insights into physical, chemical, or biological processes. Daily tasks often include designing simulation experiments, running large-scale computations, analyzing simulation results, and preparing reports or publications. Collaboration with multidisciplinary teams—such as chemists, biologists, and materials scientists—is common to ensure projects address real-world scientific questions. This role may also involve presenting findings at meetings or conferences and staying current with advancements in simulation techniques. Being part of a collaborative research environment offers continuous learning and the opportunity to contribute to innovative discoveries.

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

To excel in a Molecular Dynamics role, a strong background in physics, chemistry, computational modeling, and a relevant advanced degree (often a Ph.D.) are essential. Experience using molecular simulation software such as GROMACS, AMBER, or LAMMPS, as well as proficiency in programming languages like Python, C++, or Fortran, is typically required. Strong analytical thinking, meticulous attention to detail, and effective communication skills are valuable soft skills in this field. These qualifications are critical for accurately modeling molecular systems, interpreting complex data, and collaborating effectively with interdisciplinary research teams.

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Molecular Dynamics jobs near you
Infographic showing various Molecular Dynamics job openings in the United States as of June 2026, with employment types broken down into 2% As Needed, 62% Full Time, 30% Part Time, and 6% Contract. Highlights an 66% Physical, 1% Hybrid, and 33% Remote job distribution, with an average salary of $80,687 per year, or $38.8 per hour.

ML Researcher | Molecular Dynamics

StaffRight Associates, LLC

Boston, MA

$300K - $900K/yr

Other

Posted 3 days ago

Job description

Location Note: This position is permanently based in New York City (Manhattan). While we are advertising in Boston to connect with top-tier technical talent, there is no remote or local hybrid option in Massachusetts. We are seeking elite researchers and engineers eager to advance world-class computational methods for drug discovery right from the heart of NYC’s biotech ecosystem.

Preface

The architectural integrity of global investment and technology research relies on the seamless convergence of Machine Learning and rigorous computational execution. Within this domain, where the synthesis of complex data and high-performance systems is the primary objective, the necessity for first-principles mastery extends beyond the laboratory and into the operational nucleus of the organization. StaffRight Associates is seeking an elite professional to join the Machine Learning Research and Engineering team at a world-class firm dedicated to the advancement of computational excellence. This role demands a candidate who possesses the intellectual pedigree required to navigate the complex challenges of a research-intensive environment. By bridging specialized technical awareness with proactive problem-solving, the successful candidate will ensure the structural alignment of the firm’s strategic mission with its technical execution.

The Mission

StaffRight Associates is recruiting for a Machine Learning Researcher / Engineer to serve as a vital catalyst within a premier organization. The mission is to decouple systemic friction from analytical progress, allowing the firm’s leadership to maintain a singular focus on the acceleration of Biomolecular Simulation, Drug Discovery, and Computational Biophysics. You will be tasked with the sophisticated management of Deep Learning Architecture and Predictive Modeling, transforming abstract organizational needs into formalized, actionable results. This role requires a high degree of technical literacy to effectively support a team leveraging proprietary architectures and sophisticated algorithms to revolutionize Therapeutic Discovery and Molecular Biology.

Core Technical Objectives

  • Orchestrate Systemic Workflows: Formalize and execute complex protocols and high-stakes technical workflows to ensure continuous operational flow for the Machine Learning Research group.

  • Synthesize Complex Data: Conduct ad hoc technical and market research projects, distilling multifaceted information into coherent frameworks (such as neural networks that improve the accuracy of quantum chemistry models) that support strategic decision-making.

  • Optimize Operational Frameworks: Validate and process intricate documentation and technical requirements with meticulous attention to detail and systemic accuracy.

  • Engineer Multi-Project Solutions: Independently manage a diverse portfolio of concurrent projects, applying a proactive Goal-Execution-Mapping (GEM) approach to solve emergent bottlenecks.

  • Facilitate Elite Communication: Serve as a discreet and articulate interface between the technical committee and internal/external stakeholders, maintaining the highest standards of professional integrity.

Candidate DNA

  • Architectural Philosophy: A mindset rooted in efficiency and resilience, with the ability to navigate a hybrid, high-pressure environment without supervision.

  • Resourceful Problem-Solving: A proven track record of autonomous execution, demonstrating the ability to anticipate systemic bottlenecks before they impact the broader workflow.

  • Communication Precision: Exceptional interpersonal skills characterized by clarity, discretion, and the ability to interact with elite scientific and business minds.

  • Functional Versatility: A generalist mindset capable of pivoting between rigorous execution and technical inquiry within a high-performance ecosystem.

Academic & Research Pedigree

  • Educational Foundation: An advanced degree is preferred; Masters - PhD, ideally within a STEM discipline or a related field that provides a foundation for understanding Machine Learning Frameworks and Computational Sciences.

  • Domain Expertise: Prior professional engagement within high-performance computing, quantitative finance, or advanced technology sectors is highly advantageous. Demonstrated expertise in developing deep learning techniques and strong Python programming skills are required.

  • Quantitative Literacy: Comfort with the mathematical and operational rigor inherent in a firm focused on supercomputing, specialized hardware architectures and high-speed data processing.

Compensation & Benefits

  • Annual Base Salary: $300,000–$900,000 (determined based on the nature and extent of prior experience and educational background).

  • Variable Compensation: Sign-on and year-end bonuses.

  • Additional Provisions: Generous benefits package including relocation and immigration assistance.

  • Work Structure: A hybrid work schedule (in-office Tuesday through Thursday, with the option of working from home on Monday and Friday).

Partnering with StaffRight Associates

At StaffRight Associates, we operate at the intersection of technical synthesis and structural alignment. We don’t just match resumes to keywords; we map your engineering DNA, your architectural philosophy, and your approach to system resilience to the most sophisticated STEM challenges in the industry.

When you partner with us, you are engaging with an elite team that speaks your language and understands the nuances of high-stakes innovation. We are committed to placing elite talent where their technical contributions drive systemic impact.

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