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Remote Entry Level 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

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 ...

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

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

Provo, UT · 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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Remote Entry Level Computational Chemistry information

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How much do remote entry level computational chemistry jobs pay per hour?

As of Aug 3, 2026, the average hourly pay for remote entry level computational chemistry in the United States is $25.04, according to ZipRecruiter salary data. Most workers in this role earn between $21.15 and $28.37 per hour, depending on experience, location, and employer.

What are some common challenges faced by remote entry level computational chemists, and how can they be addressed?

Remote entry level computational chemists often encounter challenges such as limited access to immediate mentorship, establishing effective communication with team members, and managing complex computational tasks independently. To address these, it’s important to proactively seek regular check-ins with supervisors, participate in virtual lab meetings, and make use of online collaboration tools for sharing results and troubleshooting issues. Building a network with colleagues and joining professional online communities can also provide valuable support and learning opportunities.

What are remote entry level computational chemistry jobs?

Remote entry level computational chemistry jobs are positions that allow individuals, often recent graduates or those with limited professional experience, to work from home or any location outside of a traditional office. These roles typically involve using computer simulations, modeling, and data analysis to study chemical processes and solve problems in areas like drug discovery, material science, or environmental chemistry. Common tasks include running molecular simulations, analyzing computational data, and assisting with research projects under the guidance of senior scientists. These jobs often require a background in chemistry, computer science, or a related field, and familiarity with relevant software and programming languages.

What are the key skills and qualifications needed to thrive as a Remote Entry Level Computational Chemist, and why are they important?

A Remote Entry Level Computational Chemist typically needs a solid background in chemistry, physics, or related fields, often with a bachelor's or master's degree, and foundational knowledge of theoretical and computational chemistry. Familiarity with molecular modeling software (such as Gaussian, VASP, or Schrödinger) and coding languages like Python or MATLAB is commonly expected. Strong problem-solving abilities, attention to detail, and effective communication are crucial soft skills for collaborating remotely and interpreting complex data. These skills and qualifications enable accurate simulations, efficient teamwork, and contribute to scientific innovation in computational chemistry projects.
More about Remote Entry Level Computational Chemistry jobs
What cities are hiring for Remote Entry Level Computational Chemistry jobs? Cities with the most Remote Entry Level Computational Chemistry job openings:
What states have the most Remote Entry Level Computational Chemistry jobs? States with the most job openings for Remote Entry Level Computational Chemistry jobs include:
What job categories do people searching Remote Entry Level Computational Chemistry jobs look for? The top searched job categories for Remote Entry Level Computational Chemistry jobs are:
Remote Entry Level Computational Chemistry jobs near you
Infographic showing various Remote Entry Level Computational Chemistry job openings in the United States as of July 2026, with employment types broken down into 71% Full Time, and 29% Contract. Highlights an 100% Remote job distribution, with an average salary of $52,079 per year, or $25 per hour.

Chemist with Python Proficiency - AI Trainer

Kake Group

Austin, TX • Remote

$51.50 - $71/hr

Contractor

Re-posted 16 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.