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Temporary Remote Computational Chemistry Jobs (NOW HIRING)

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 ...

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 ...

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 ...

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 ...

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 ...

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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Temporary Remote Computational Chemistry information

See salary details

$50.5K

$111.3K

$137.5K

How much do temporary remote computational chemistry jobs pay per year?

As of Aug 5, 2026, the average yearly pay for temporary remote computational chemistry in the United States is $111,343.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,500.00 and $137,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a temporary remote computational chemist?

To thrive as a Temporary Remote Computational Chemist, you need a solid background in chemistry, computer modeling, and data analysis, typically supported by an advanced degree in chemistry or a related field. Proficiency with molecular modeling software (such as Gaussian, Schrödinger, or AMBER), programming languages like Python, and high-performance computing environments is essential. Strong problem-solving, time management, and collaborative communication skills help you deliver results efficiently in a remote setting. These abilities are crucial for producing accurate simulation data, meeting deadlines, and contributing effectively to remote research teams.

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

Temporary remote computational chemists often encounter challenges such as limited access to specialized software or high-performance computing resources, time management across different projects, and effective communication with distributed teams. Overcoming these hurdles typically involves proactively coordinating with IT departments to ensure access to necessary tools, setting clear priorities with supervisors, and utilizing project management and collaboration platforms to stay connected with colleagues. Adopting a structured daily routine and regularly checking in with team members can also help maintain productivity and integrate smoothly into the existing workflow.

What is a temporary remote computational chemistry job?

A temporary remote computational chemistry job involves using computer simulations and modeling to study chemical processes, often for a limited project or timeframe, while working from a location outside of a traditional office or laboratory. These positions typically support research and development in fields like pharmaceuticals, materials science, or biotechnology. Temporary roles may last anywhere from a few weeks to several months, and remote work allows professionals to collaborate with teams and access necessary software and databases from home or other remote locations.

What is the difference between Temporary Remote Computational Chemistry vs Temporary Remote Chemical Data Analyst?

AspectTemporary Remote Computational ChemistryTemporary Remote Chemical Data Analyst
Required CredentialsTypically requires a degree in chemistry, computational chemistry, or related field; proficiency in modeling softwareRequires a degree in chemistry, data analysis, or related; skills in data management and analysis tools
Work EnvironmentRemote, often collaborative with research teams, using specialized softwareRemote, focused on data interpretation, reporting, and database management
Employer & Industry UsagePharmaceutical, biotech, or research institutionsPharmaceutical, chemical manufacturing, or research organizations

Temporary Remote Computational Chemistry involves modeling and simulation work using specialized software, often in research settings. In contrast, Temporary Remote Chemical Data Analysts focus on analyzing chemical data sets and generating reports. Both roles are remote, require chemistry-related credentials, but differ in daily tasks and industry focus.

More about Temporary Remote Computational Chemistry jobs
What cities are hiring for Temporary Remote Computational Chemistry jobs? Cities with the most Temporary Remote Computational Chemistry job openings:
What are the most commonly searched types of Temporary Computational Chemistry jobs? The most popular types of Temporary Computational Chemistry jobs are:
What states have the most Temporary Remote Computational Chemistry jobs? States with the most job openings for Temporary Remote Computational Chemistry jobs include:
Infographic showing various Temporary Remote Computational Chemistry job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 78% Full Time, 18% Part Time, 1% Temporary, and 2% Contract. Highlights an 85% Physical, 1% Hybrid, and 14% Remote job distribution, with an average salary of $111,343 per year, or $53.5 per hour.

Chemist with Python Proficiency - AI Trainer

Kake Group

Austin, TX • Remote

$51.50 - $71/hr

Contractor

Re-posted 19 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.