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Internship Remote Computational Chemistry Jobs (NOW HIRING)

micro1 AI

Computational Biologist - AI Reviewer

Waco, TX · On-site +1

$90 - $120/hr

Remote micro1 is engaging Computational Biology Experts to contribute their advanced scientific ... Develop and review problem sets, case studies, or scenarios based on real-world medicinal chemistry ...

micro1 AI

Computational Biologist - AI Reviewer

Everett, WA · On-site +1

$90 - $120/hr

Remote micro1 is engaging Computational Biology Experts to contribute their advanced scientific ... Develop and review problem sets, case studies, or scenarios based on real-world medicinal chemistry ...

micro1 AI

Computational Biologist - AI Reviewer

Arvada, CO · On-site +1

$90 - $120/hr

Remote micro1 is engaging Computational Biology Experts to contribute their advanced scientific ... Develop and review problem sets, case studies, or scenarios based on real-world medicinal chemistry ...

micro1 AI

Computational Biologist - AI Reviewer

Conroe, TX · On-site +1

$90 - $120/hr

Remote micro1 is engaging Computational Biology Experts to contribute their advanced scientific ... Develop and review problem sets, case studies, or scenarios based on real-world medicinal chemistry ...

micro1 AI

Computational Biologist - AI Reviewer

Athens, GA · On-site +1

$90 - $120/hr

Remote micro1 is engaging Computational Biology Experts to contribute their advanced scientific ... Develop and review problem sets, case studies, or scenarios based on real-world medicinal chemistry ...

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Internship Remote Computational Chemistry information

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How much do internship remote computational chemistry jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for internship remote computational chemistry in the United States is $19.31, according to ZipRecruiter salary data. Most workers in this role earn between $16.11 and $20.91 per hour, depending on experience, location, and employer.

What is a remote internship in computational chemistry?

A remote internship in computational chemistry is a temporary, often project-based position where students or early-career scientists work from home or another remote location. Interns use computational tools and software to model, simulate, and analyze chemical systems under the guidance of experienced mentors. These internships typically involve tasks such as molecular modeling, data analysis, and programming, and allow interns to gain experience in the field without needing to be physically present in a laboratory or office. They are valuable for building skills, expanding professional networks, and exploring career paths in computational chemistry.

What is the difference between Internship Remote Computational Chemistry vs Research Assistant in Computational Chemistry?

AspectInternship Remote Computational ChemistryResearch Assistant in Computational Chemistry
CredentialsUndergraduate or graduate student, relevant courseworkTypically graduate degree or equivalent experience
Work EnvironmentRemote, project-based, short-termLab or office, longer-term research projects
Employer & IndustryUniversities, research institutes, companiesUniversities, research labs, industry
Search & Comparison IntentEntry-level, internship opportunities, remote workResearch roles, academic or industry research positions

Internship Remote Computational Chemistry typically involves short-term, remote projects suitable for students gaining experience, while Research Assistant in Computational Chemistry is a more advanced, often longer-term role requiring higher credentials, with work often conducted on-site or in a lab setting. Both roles focus on computational chemistry but differ in experience level and work environment.

What types of projects or tasks can I expect to work on during a remote computational chemistry internship?

As a remote computational chemistry intern, you will typically assist with projects such as molecular modeling, data analysis, and running simulations using software like Gaussian or GROMACS. Your daily tasks may include preparing input files, analyzing simulation results, and collaborating with research scientists via virtual meetings. Interns often work on specific research problems, contribute to reports or presentations, and may have opportunities to co-author scientific publications. This role provides hands-on experience with industry-standard computational tools and exposure to real-world research workflows.

What are the key skills and qualifications needed to thrive in a remote computational chemistry internship?

To thrive as a Remote Computational Chemistry Intern, you need a solid background in chemistry, molecular modeling, and quantitative analysis, typically demonstrated through coursework or a relevant degree in chemistry or a related field. Familiarity with computational chemistry software (such as Gaussian, Schrödinger, or AMBER), programming languages like Python, and data analysis tools is commonly required. Strong problem-solving abilities, attention to detail, and effective communication skills set outstanding interns apart, especially in a remote setting. These competencies ensure interns can contribute to research projects, interpret complex data, and collaborate successfully within virtual teams.
More about Internship Remote Computational Chemistry jobs
What cities are hiring for Internship Remote Computational Chemistry jobs? Cities with the most Internship Remote Computational Chemistry job openings:
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Internship Remote Computational Chemistry jobs near you
Infographic showing various Internship Remote Computational Chemistry job openings in the United States as of August 2026, with employment types broken down into 50% Full Time, and 50% Part Time. Highlights an 100% Remote job distribution, with an average salary of $40,174 per year, or $19.3 per hour.

Chemist with Python Proficiency - AI Trainer

Kake Group

Austin, TX • Remote

$51.50 - $71/hr

Contractor

Re-posted 20 days ago

Job description

We're building a talent pool of Chemistry professionals with Python proficiency to contribute to project-based AI development initiatives, focused on evaluating and enhancing frontier AI models.

Designed for chemistry specialists who enjoy deep technical problem-solving, this pipeline role is for those looking to apply their computational expertise to evaluate and push the boundaries of frontier AI models, relying on domain-specific tools such as GROMACS, PySCF, ORCA, Quantum ESPRESSO, or AutoDock Vina, with verifiable, code-graded answers run inside isolated Linux environments.

Key Responsibilities

  • Identify an appropriate computational chemistry package and build problems whose solution genuinely hinges on that tool's core capabilities, whether force fields, integrators, electronic-structure methods, basis sets, or pseudopotential workflows.
  • Develop full Python solutions for each problem, providing all necessary input files, molecular geometries, and crystal structure definitions as required.
  • Establish the correct numerical output and define how close the AI model needs to get, using tolerance values appropriate to the chemical context.
  • Run the problem against the AI model across multiple parallel attempts, analyzing where it succeeds or falls short, and adjusting difficulty until the pass rate falls between 10% and 30%.
  • Tune molecular geometries, basis sets, and convergence thresholds iteratively, building an understanding of how the model navigates complex simulation environments.
  • Hand off completed tasks to a senior reviewer in your subfield and refine based on their feedback before final submission.

Core Requirements

  • Academic background in Chemistry or a closely related field.
  • At least 2 years of hands-on experience in chemistry research, applied work, or teaching.
  • Solid Python skills, applied to writing and validating computational solutions.
  • Capacity to build problems that cannot be solved without specialized computational chemistry software.
  • Excellent written and verbal communication skills in English.
  • Ability to work independently in a remote, fast-paced environment.

Nice-to-Have

  • Working knowledge of one or more domain-specific computational chemistry tools, including but not limited to GROMACS, LAMMPS, PySCF, ORCA, xtb, CREST, Quantum ESPRESSO, phonopy, pymatgen, AutoDock Vina, or GNINA, or a demonstrated ability to get up to speed independently.
  • Prior exposure to how frontier AI models approach complex simulation tasks.
  • Knowledge spanning more than one chemistry domain, such as molecular dynamics, quantum chemistry, or molecular docking.
  • Familiarity with containerized or sandboxed Linux execution environments.

Please Note: Due to the high volume of applications, only shortlisted candidates will be contacted.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.