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Job Sharing Remote Computational Chemistry Jobs (NOW HIRING)

Senior Computational Chemist

La Jolla, CA · On-site +1

$106K - $176K/yr

Contribute to the scientific culture of MLCS through knowledge sharing, internal talks, and cross-team collaboration. Required Qualifications * Ph.D. in Computational Chemistry, Cheminformatics ...

Utilize computational chemistry and mass spectrometry toolkits to model chemical properties ... Hybrid Work Environment with remote and onsite work flexibility based on program requirements ...

This remote contract opportunity is designed for experienced chemistry professionals who are ... Research or industry experience involving computational, quantitative, or applied 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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Showing results 1-20

Job Sharing Remote Computational Chemistry information

See salary details

$50.5K

$111.3K

$137.5K

How much do job sharing remote computational chemistry jobs pay per year?

As of Aug 19, 2026, the average yearly pay for job sharing 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 is the difference between Job Sharing Remote Computational Chemistry vs Remote Computational Chemist?

AspectJob Sharing Remote Computational ChemistryRemote Computational Chemist
CredentialsBachelor's or Master's in Chemistry, Computational Chemistry, or related fieldBachelor's or Master's in Chemistry, Computational Chemistry, or related field
Work EnvironmentRemote, collaborative, often part-time or shared rolesRemote, individual-focused, full-time or project-based
Industry UsageUsed in research institutions, biotech, pharma with flexible staffingCommon in pharmaceutical, academic, and industrial research

Job Sharing Remote Computational Chemistry involves sharing responsibilities in a remote setting, often with flexible hours, whereas a Remote Computational Chemist typically works independently on full-time projects. Both roles require similar credentials and are used across research and industry sectors, but their work arrangements differ significantly.

More about Job Sharing Remote Computational Chemistry jobs

What job categories do people searching Job Sharing Remote Computational Chemistry jobs look for?

The top searched job categories for Job Sharing Remote Computational Chemistry jobs are:

Infographic showing various Job Sharing Remote Computational Chemistry job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 70% Full Time, 23% Part Time, and 6% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $111,343 per year, or $53.5 per hour.

Computational Chemistry Expert - PhD

Mercor

San Francisco, CA • Remote

$70 - $100/hr

Full-time

Posted 6 days ago


Job description

About the job

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.

Position: Computational Chemistry & Electronic Structure Expert
Type: Contract
Compensation: $70–$100/hour
Location: Remote
Commitment: 15–20 hours/week

Role Responsibilities

  • Design challenging computational problems in Computational Chemistry & Electronic Structure using PySCF for quantum chemistry calculations.
  • Develop problems requiring strategic planning for AI to uncover hidden information through simulations and experiments.
  • Test and refine problems against state-of-the-art AI models to achieve target difficulty.
  • Collaborate with AI research teams to ensure problems align with real scientific workflows.
  • Work independently to create problems that challenge AI reasoning beyond surface-level pattern matching.

Qualifications

Must-Have

  • Graduate-level training in a relevant STEM field (MS, PhD, or equivalent research experience).
  • Proven proficiency with scientific software libraries through research publications or professional work.
  • Strong Python skills for writing problem setups and solution validators.
  • Ability to work independently and refine designs based on feedback.
  • Comfortable in a Linux/terminal environment with remote compute sandboxes.

Preferred

  • Experience across multiple domains or tools.
  • Familiarity with benchmark or evaluation design.
  • Background in scientific teaching or exam/problem-set design.
  • Experience with computational reproducibility and containerized environments.

Application Process (Takes 20–30 mins to complete)

  • Upload resume
  • AI interview based on your resume
  • Submit form

Resources & Support

  • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
  • For any help or support, reach out to: support@mercor.com

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.