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Academic Internship Molecular Simulation Jobs (NOW HIRING)

Force Field Scientist

New York, NY · On-site

$120K - $145K/yr

The software platform is used by biopharmaceutical and industrial companies, academic institutions ... A scientist who has applied molecular simulation and QM methods in model validation * A force field ...

The software platform is used by biopharmaceutical and industrial companies, academic institutions ... A scientist who has applied molecular simulation and QM methods in model validation * A force field ...

Simulation and Modeling Intern (Spring 2027)

Phoenix, AZ · On-site

$16.75 - $21.50/hr

Our internship program is for students who are actively enrolled in a full-time academic program ... What You'll Do As a Simulation Intern at ASM, you will support simulation, DOE studies and ...

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How much do academic internship molecular simulation jobs pay per hour?

As of Jul 5, 2026, the average hourly pay for academic internship molecular simulation 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 is an Academic Internship in Molecular Simulation?

An Academic Internship in Molecular Simulation is a temporary research position, often held by undergraduate or graduate students, that provides hands-on experience in using computational methods to model and study molecular systems. Interns typically work under the guidance of faculty or researchers, learning to use simulation software and analyzing data related to chemical or biological molecules. These internships help students develop practical skills in computational chemistry, physics, or biology, and can contribute to ongoing research projects. The experience gained is valuable for pursuing advanced studies or careers in scientific research and related fields.

What kinds of projects and collaborative opportunities can I expect during an academic internship in molecular simulation?

During an academic internship in molecular simulation, you can expect to work on research-driven projects that involve modeling molecular systems, analyzing simulation data, and possibly developing or optimizing simulation software. Collaboration is a key aspect, as you'll often work closely with graduate students, postdocs, and faculty members, contributing to ongoing research or interdisciplinary projects. Interns typically participate in group meetings, share findings, and may co-author reports or publications, providing valuable exposure to academic research and teamwork in a scientific setting.

What is the difference between Academic Internship Molecular Simulation vs Research Assistant in Molecular Biology?

AspectAcademic Internship Molecular SimulationResearch Assistant in Molecular Biology
Required CredentialsUndergraduate or graduate student, basic knowledge of molecular simulationBachelor's or Master's in biology, biochemistry, or related field
Work EnvironmentAcademic labs, research institutions, computational settingsLaboratories, research institutions, wet lab environments
Employer & Industry UsageUniversities, research institutes, biotech companiesUniversities, research centers, biotech firms
Common Search & Comparison IntentUnderstanding internship roles in molecular simulationComparing research roles in molecular biology

Academic Internship Molecular Simulation focuses on gaining hands-on experience in computational modeling of molecular systems, often for students or early-career researchers. Research Assistant in Molecular Biology involves laboratory-based research in biological sciences. While both roles support scientific research, the internship emphasizes computational skills, whereas the research assistant role centers on experimental work.

What are the key skills and qualifications needed to thrive as an Academic Intern in Molecular Simulation, and why are they important?

To thrive as an Academic Intern in Molecular Simulation, you need a solid background in chemistry, physics, or related fields, along with coursework in computational modeling and molecular dynamics. Familiarity with simulation software such as GROMACS, AMBER, or LAMMPS, and programming languages like Python or C++, is typically required. Strong analytical thinking, attention to detail, and effective communication are critical soft skills for interpreting data and collaborating with research teams. These skills and qualifications enable interns to contribute meaningfully to research projects and ensure accurate, reproducible results in complex simulations.
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Force Field Scientist

Force Field Scientist

Schrödinger

New York, NY • On-site

$120K - $145K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 5 days ago


Job description

We're seeking a Force Field Scientist to join us in our mission to improve human health and quality of life by transforming the discovery of therapeutics and materials!
Schrödinger has pioneered a physics-based software platform that enables discovery of high-quality, novel molecules for drug development and materials applications more rapidly and at lower cost compared to traditional methods. The software platform is used by biopharmaceutical and industrial companies, academic institutions, and government laboratories around the world. Our multidisciplinary drug discovery team also leverages the software platform to advance collaborative programs and its own pipeline of novel therapeutics to address unmet medical needs.
As a member of our Force Fields team, you'll work with a team of scientists and engineers to build atomistic physics-based models with unprecedented levels of accuracy. This role offers the opportunity to combine your scientific research experience with sound engineering principles to continue to advance the state-of-the-art in computer-aided chemical discovery.
Who will love this job:
  • A student of computational chemistry or biophysics who has developed models for small molecules and proteins
  • A scientist who has applied molecular simulation and QM methods in model validation
  • A force field developer who is passionate about building next-generation classical force fields enhanced by machine learning

What you'll do:
  • Facilitate computer-aided chemical discovery by expanding the accuracy and coverage of our best-in-class atomistic physics-based models
  • Collaborate with cross-functional teams and Schrödinger's agentic AI (Bunsen) to create next-generation tools for force field development
  • Adopt best engineering practices to write clear, highly-organized, and maintainable code

What you should have:
  • Master's or PhD in Computational Chemistry, Biophysics, or a related field
  • Peer-reviewed publications in relevant disciplines
  • Intermediate-level knowledge of the Python programming language

We'd prefer to hire someone who has:
  • C++ programming background
  • Experience with force field parameterization and methods development

Pay and perks:
Schrödinger understands it's people that make a company great. Because of this, we're prepared to offer a competitive salary, equity-based compensation, and a wide range of benefits that include healthcare (with dental and vision), a 401k, pre-tax commuter benefits, a flexible work schedule, and a parental leave program. We have regular catered meals in the office, a company culture that is relaxed but engaged, and over a month of paid vacation time. Our Office Management team also plans a myriad of fun company-wide events. New York is home to our largest office, but we have teams all over the world. Schrödinger is honored to have been included in Crain's New York Best Places to Work, BuiltIn's NYC Best Place to Work, and Newsweek's list of America's 100 Most Loved Workplaces.
Estimated base salary range: $120,000 - $145,000. Actual compensation package is dependent on a number of factors, including, for example, experience, education, degrees held, market data, and business needs. If you have any questions regarding the compensation for this role, do not hesitate to reach out to a member of our Strategic Growth team.
Sound exciting? Apply today and join us!
As an equal opportunity employer, Schrödinger hires outstanding individuals into every position in the company. People who work with us have a high degree of engagement, a commitment to working effectively in teams, and a passion for the company's mission. We place the highest value on creating a safe environment where our employees can grow and contribute, and refuse to discriminate on the basis of race, color, religious belief, sex, age, disability, national origin, alienage or citizenship status, marital status, partnership status, caregiver status, sexual and reproductive health decisions, gender identity or expression, sexual orientation, or any other protected characteristic. To us, "diversity" isn't just a buzzword, but an important element of our core principles and key business practices. We believe that diverse companies innovate better and think more creatively than homogenous ones because they take into account a wide range of viewpoints. For us, greater diversity doesn't mean better headlines or public images - it means increased adaptability and profitability.