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Internship Molecular Simulation Jobs (NOW HIRING)

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Internship Molecular Simulation information

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How much do internship molecular simulation jobs pay per hour?

As of Jun 1, 2026, the average hourly pay for 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 are the key skills and qualifications needed to thrive as an Internship Molecular Simulation, and why are they important?

To thrive in an Internship Molecular Simulation, you generally need a solid background in chemistry, physics, or related fields, along with coursework in computational modeling. Familiarity with molecular simulation software (such as GROMACS or LAMMPS), coding skills in Python or C++, and experience with data analysis tools are typically required. Strong problem-solving abilities, attention to detail, and the ability to communicate scientific findings clearly are valuable soft skills. These competencies enable interns to effectively contribute to research projects, analyze complex molecular data, and collaborate within interdisciplinary teams.

What types of projects and responsibilities can I expect during an internship in molecular simulation?

As an intern in molecular simulation, you'll typically work on projects involving computational modeling of molecular systems, such as proteins, polymers, or materials. Your daily tasks may include setting up and running simulations using specialized software, analyzing simulation data, and collaborating with research scientists to interpret results. You'll also have opportunities to participate in team meetings, present your findings, and potentially contribute to publications or ongoing research. The work environment is often collaborative, with mentorship from experienced researchers and regular feedback to help you develop technical and analytical skills.

What is an Internship in Molecular Simulation?

An Internship in Molecular Simulation is a temporary position, usually for students or recent graduates, where individuals learn and contribute to projects involving computational modeling of molecules and their interactions. Interns typically use specialized software and algorithms to simulate the behavior of biological or chemical systems at the molecular level. These internships provide hands-on experience in computational chemistry, physics, or biology, and often involve programming, data analysis, and collaboration with research teams. The goal is to gain practical skills, expand knowledge in molecular modeling, and explore potential career paths in research or industry.

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

AspectInternship Molecular SimulationResearch Assistant in Molecular Biology
Required CredentialsUndergraduate or early graduate level, basic knowledge of chemistry and computer scienceUndergraduate or graduate level, background in biology or biochemistry
Work EnvironmentComputational labs, software development, data analysisWet labs, experimental procedures, data collection
Employer & Industry UsagePharmaceutical, biotech, academia, research institutionsAcademic labs, research institutes, biotech companies
Common Search & Comparison IntentUnderstanding internship roles in molecular simulationExploring research assistant roles in molecular biology

Internship Molecular Simulation focuses on computational modeling and software-based research, ideal for those with programming skills. Research Assistant in Molecular Biology involves hands-on lab work and biological experiments. Both roles support scientific research but differ in environment and skill set required.

More about Internship Molecular Simulation jobs
What cities are hiring for Internship Molecular Simulation jobs? Cities with the most Internship Molecular Simulation job openings:
What are the most commonly searched types of Molecular Simulation jobs? The most popular types of Molecular Simulation jobs are:
What states have the most Internship Molecular Simulation jobs? States with the most job openings for Internship Molecular Simulation jobs include:
What job categories do people searching Internship Molecular Simulation jobs look for? The top searched job categories for Internship Molecular Simulation jobs are:
Infographic showing various Internship Molecular Simulation job openings in the United States as of May 2026, with employment types broken down into 59% Full Time, 40% Part Time, and 1% Contract. Highlights an 68% Physical, 11% Hybrid, and 21% Remote job distribution, with an average salary of $32,333 per year, or $15.5 per hour.
Intern, Statistical Science

$16.75 - $22.25/hr

Other

Posted 14 days ago


Job description

Who We Are BioMarin is a global biotechnology company that relentlessly pursues bold science to translate genetic discoveries into new medicines that advance the future of human health. Since our founding in 1997, we have applied our scientific expertise in understanding the underlying causes of genetic conditions to create transformative medicines, using a number of treatment modalities. Using our unparalleled expertise in genetics and molecular biology, we develop medicines for patients with significant unmet medical need. We enlist the best of the best - people with the right technical expertise and a relentless drive to solve real problems - and create an environment that empowers our teams to pursue bold, innovative science. With this distinctive approach to drug discovery, we've produced a diverse pipeline of commercial, clinical and preclinical candidates that have well-understood biology and provide an opportunity to be first-to-market or offer a substantial benefit over existing therapeutic options. About Worldwide Research and Development From research and discovery to post-market clinical development, our WWRD engine involves all bench and clinical research and the associated groups that support those endeavors. Our teams work on developing first-in-class and best-in-class therapeutics that provide meaningful advances to patients who live with genetic diseases. SUMMARY: The BioMarin Summer Internship Program will enable students to gain valuable experience and knowledge of the processes and systems within BioMarin, while gaining an insight into the pharmaceutical/biotech industry. Over the course of 10 - 12 weeks our interns gain industry experience while working alongside our talented team on meaningful projects. Statistical Science, a function of BioMarin Data Science, provides statistical expertise and leadership in the design and execution of Phase 1-4 clinical trials. This includes the analysis, interpretation, and reporting of trial data to support clinical development, medical affairs, market access, and scientific publications across the lifecycle of therapeutic products. Statistical Science works closely with Clinical Science, Pharmacovigilance, Regulatory Affairs, Market Access, Medical Affairs, as well as Data Analytics Science and Data Management Science to achieve these objectives. JOB DESCRIPTION/PROJECT: The intern will:
  • Work closely with senior members of the Statistical Science function on research and application of Bayesian mixed effect models for clinical data
  • Explore approaches for historical data augmentation in trial settings
  • Work on seamless Phase 2/3 design including sample size re-estimation and alpha adjustment, run simulation to assess statistical operating characteristics of a seamless design
  • Have opportunities to gain hands-on experience in innovative statistical methodologies applied to real clinical study design and data analysis
Present project achievements to the Statistical Science function at the end of the summer Required Skills:
  • Proficiency in SAS, and/or R, and/or Python
  • Solid understanding of Bayesian methods and mixed-effects modelling
  • Knowledge of historical data augmentation and adaptive or seamless trial design (sample size re-estimation, alpha adjustment)
  • Strong ability to conduct methodological research, strong problem-solving skills
  • Strong communicationskills and ability to work independently and collaboratively
Desired Skills:
  • Strong knowledge of Bayesian methods, mixed effect models, and adaptive design
  • Familiarity with sample size re-estimation and alpha adjustment preferred.
Qualifications/Eligibility:
  • PhD candidate in Statistics, Biostatistics, or related field.
  • Must be available to work full-time, 40 hours a week.
  • Must be currently enrolled as a full-time student at an accredited U.S. based university or college and enrolled in the fall term after the completion of the internship OR have graduated within 1 year of the start of the program.
Benefits of a BioMarin Internship:
  • Paid hourly wage, paid company holidays, and sick time
  • Apply skills and knowledge learned in the classroom to on-the-job experiences
  • Comprehensive, value-added project(s)
  • Develop skills specific to your major.
  • Opportunities for professional development by building relationships and learning about other parts of the business.
  • Participate in company all hands meetings, monthly community lunches
  • Corporate office amenities such as: 24/7 on-site gym, coffee truck, snacks
  • Access to Employee Resource Groups
Note: This description is not intended to be all-inclusive, or a limitation of the duties of the position. It is intended to describe the general nature of the job that may include other duties as assumed or assigned.
Equal Opportunity Employer/Veterans/Disabled
An Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability. In the U.S., the salary range for this position is $32 to $50 per hour, which factors in various geographic regions. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors.