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Physics Simulation Python Jobs in Newark, NJ (NOW HIRING)

Quantum PDK Engineer

New York, NY · On-site

$98K - $176K/yr

This role operates at the intersection of device physics, modeling, and EDA, translating emerging ... Integrate and validate PDKs within EDA environments (e.g., LVS/DRC, simulation flows), including ...

Quantum PDK Engineer

New York, NY · On-site

$98K - $176K/yr

This role operates at the intersection of device physics, modeling, and EDA, translating emerging ... Integrate and validate PDKs within EDA environments (e.g., LVS/DRC, simulation flows), including ...

... simulation. Industry experience in CAD / CAE (CFD, FEM, etc) modelling is a plus * You hold a master's degree in engineering, Applied Mathematics, or Physics * You have strong experience with Python ...

Post Doctoral Associate

New York, NY · On-site

$60K - $80K/yr

A solid competency with the standard implementation tools used in autonomous robots and embedded systems (e.g., C, C++, Linux, MATLAB, Python, Robot Operating System, Gazebo Physics Engine Simulator ...

Participate in discussions to define simulation prerequisites, collect necessary data, and ... Star CCM+ across various physics types and application areas, with focus on external CFD modeling ...

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Physics Simulation Python information

See Newark, NJ salary details

$11.5K

$70.7K

$127.1K

How much do physics simulation python jobs pay per year?

As of Jul 10, 2026, the average yearly pay for physics simulation python in Newark, NJ is $70,692.00, according to ZipRecruiter salary data. Most workers in this role earn between $46,000.00 and $83,100.00 per year, depending on experience, location, and employer.

What is the difference between Physics Simulation Python vs Mechanical Engineer?

AspectPhysics Simulation PythonMechanical Engineer
Required CredentialsProgramming skills, knowledge of physics, often a degree in physics or computer scienceMechanical engineering degree, professional licensure in some regions
Work EnvironmentSoftware development, research labs, simulation environmentsDesign offices, manufacturing plants, R&D departments
Industry UsageSimulation software development, research, academiaProduct design, manufacturing, systems optimization

Physics Simulation Python focuses on developing and implementing physics-based simulations using Python programming, often in research or software development contexts. Mechanical Engineers apply engineering principles to design, analyze, and manufacture mechanical systems. While both roles require a strong understanding of physics, Physics Simulation Python emphasizes coding and simulation, whereas Mechanical Engineering involves practical design and application in physical systems.

Does NASA hire physicists?

Yes, NASA hires physicists for roles involving research, space science, and engineering projects. These positions often require advanced degrees in physics or related fields and familiarity with scientific tools and data analysis methods. Physicists at NASA contribute to mission development, data interpretation, and technological innovation.

What are the key skills and qualifications needed to thrive as a Physics Simulation Python Developer, and why are they important?

To excel as a Physics Simulation Python Developer, you need a strong background in physics, mathematics, and proficiency in Python programming, often supported by a degree in physics, engineering, or computer science. Familiarity with simulation libraries (such as NumPy, SciPy, PyBullet, or SimPy), version control systems like Git, and experience with visualization tools are commonly required. Analytical thinking, problem-solving abilities, and effective collaboration are standout soft skills in this role. These skills enable the development of accurate, efficient simulations and foster productive teamwork in research or engineering projects.

What are some common challenges faced by professionals working in Physics Simulation with Python, and how can they be addressed?

Professionals in Physics Simulation with Python often encounter challenges such as optimizing simulation performance, ensuring numerical accuracy, and integrating complex libraries (e.g., NumPy, SciPy, PyBullet) into larger workflows. Addressing these issues typically involves using efficient coding practices, leveraging vectorized operations, and validating results with analytical solutions or experimental data. Collaboration with domain experts and regular code reviews can also help maintain code reliability and project scalability. Staying updated with the latest simulation frameworks and actively participating in open-source communities are excellent ways to overcome technical hurdles.

Is Python still in demand in 2026?

Python remains highly in demand for physics simulation roles in 2026 due to its versatility, extensive libraries like NumPy and SciPy, and strong community support. Professionals skilled in Python, along with knowledge of scientific computing and simulation frameworks, are sought after in research, engineering, and development environments.

Who hires computational physicists?

Computational physicists are hired by research institutions, government laboratories, universities, and private industry companies involved in scientific research, technology development, and simulation modeling. They often work in fields such as aerospace, defense, energy, and software development, utilizing programming skills and scientific expertise to solve complex physical problems.

What is a Physics Simulation Python developer?

A Physics Simulation Python developer is a professional who uses the Python programming language to design, implement, and analyze simulations that model physical systems and phenomena. These simulations can range from simple particle motion to complex fluid dynamics or electromagnetic fields, and are widely used in research, engineering, gaming, and education. The developer typically utilizes scientific libraries such as NumPy, SciPy, and PyBullet, and may also work with visualization tools to present simulation results. Their work helps in understanding real-world physics problems, testing hypotheses, or creating realistic interactive environments.

Is Python good for physics simulation?

Physics simulation Python roles often require knowledge of Python libraries such as NumPy, SciPy, and PyBullet, which are well-suited for modeling physical systems. Python's ease of use, extensive scientific computing ecosystem, and ability to integrate with other tools make it a popular choice for developing and running physics simulations in research and industry. Proficiency in numerical methods and understanding of physics principles are also important for these positions.
What are popular job titles related to Physics Simulation Python jobs in Newark, NJ? For Physics Simulation Python jobs in Newark, NJ, the most frequently searched job titles are:
What job categories do people searching Physics Simulation Python jobs in Newark, NJ look for? The top searched job categories for Physics Simulation Python jobs in Newark, NJ are:
What cities near Newark, NJ are hiring for Physics Simulation Python jobs? Cities near Newark, NJ with the most Physics Simulation Python job openings:

Associate Principal Scientist, Molecular Modeling

MSD Malaysia

Rahway, NJ

Full-time

Posted 9 days ago


Job description

Job Overview

We are seeking a motivated Associate Principal Scientist to join our Digital Insights team within the Development Sciences and Clinical Supply (DSCS) Digital Technologies organization. In this role, the successful candidate will leverage expertise in atomistic modeling of drug substance and drug formulations to support the company’s pipeline of antibodies, small molecules, peptides, biologics, conjugates, and vaccines.

Responsibilities
  • Expert execution of atomistic molecular modeling and molecular dynamics simulations.
  • Application of predictive approaches to address scientific problems across pharmaceutical characterization techniques.
  • Application of data science workflows to address pipeline challenges across all modalities with an initial emphasis on biologics.
  • Application and generation of data analysis and visualization workflows.
  • Input on development of dashboards, reports, and data exports.
  • Influence definition of digital strategy.
  • Lead and manage projects, including scope definition, stakeholder alignment, milestone tracking, and delivery against project timelines.
  • Build strong partnerships with business stakeholders to gather requirements for new digital and data solutions with direct pipeline impact.
  • Demonstrate excellent interpersonal, communication, and collaboration skills.
  • Demonstrate a clear ability to perform impactful scientific innovation in a team‑oriented manner that builds trusted partnerships across broad stakeholder networks.
  • Have a demonstrated ability to publish and present research, including an established track record of interaction with the broader academic community.
Qualifications and Experience

Education Minimum Requirements

  • Ph.D. in Computational Chemistry, Chemistry, Biochemistry, Engineering, Data Science, Mathematics, Physics, Biology, Pharmaceutical Sciences, or a closely‑related field with at least 4 years of relevant experience.
  • M.S. in Computational Chemistry, Chemistry, Biochemistry, Engineering, Data Science, Mathematics, Physics, Biology, Pharmaceutical Sciences, or a closely‑related field with at least 6 years of relevant experience.
  • B.S. in Computational Chemistry, Chemistry, Biochemistry, Engineering, Data Science, Mathematics, Physics, Biology, Pharmaceutical Sciences, or a closely‑related field with at least 8 years of relevant experience.

Required Experience and Skills

  • Expertise in atomistic modeling (direct experience with antibodies and at least one other modality: small molecules, peptides, biologics, conjugates, and vaccines).
  • Expertise in executing molecular dynamics simulations of multi‑component systems.
  • Expertise across multiple computational modeling platforms such as: Rosetta, Gromacs, Amber, Schrodinger, MOE, Gaussian, AlphaFold, etc.
  • Familiar with programming in R and/or Python and Posit/RStudio/Jupyter.
  • Experience with one or more data visualization tools (Shiny, Spotfire, Dash, PowerBI, Streamlit, or Tableau).
  • Excellent verbal and written communication skills.
  • Work independently and be able to collaborate as a team.

Preferred Experience and Skills

  • Multi‑scale modeling including coarse‑grained molecular dynamics.
  • Familiarity with Machine learning/Gen AI.
  • Experience with pharmaceutical drug product development involving formulation design.
  • Knowledge of development of chemical matter across one or more modalities.
  • Track record of impact in the pharmaceutical industry with relevant examples directed towards pipeline objectives.
  • Development of dashboards, reports, and data exports.
EEO Statement

As an Equal Employment Opportunity Employer, we provide equal opportunities to all employees and applicants for employment and prohibit discrimination on the basis of race, color, age, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or other applicable legally protected characteristics. As a federal contractor, we comply with all affirmative action requirements for protected veterans and individuals with disabilities. For more information about personal rights under the U.S. Equal Opportunity Employment laws, visit: EEOC Know Your Rights, EEOC GINA Supplement. We are proud to be a company that embraces the value of bringing together talented and committed people with diverse experiences, perspectives, skills, and backgrounds. The fastest way to break through innovation is when people with diverse ideas, broad experiences, and skills come together in an inclusive environment.

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