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Remote Computational Material Science Jobs Near Me

Battelle

Materials Scientist (Early Career)

Columbus, OH · On-site

$71K - $84K/yr

Applying materials science theories to well-defined tasks with minimal oversight * Compiling and ... Our Together with Flexibility model allows you to work 60% in-office and 40% remote, with Monday ...

Battelle

Materials Scientist

Columbus, OH · On-site

$81K - $116K/yr

... science disciplines analyzing and interpreting metal mechanical properties data per MMPDS ... Perform complex assignments with minimal oversight analyzing material data submitted to the MMPDS ...

Battelle

Bioinformaticist

Columbus, OH · On-site

... on computational analysis of high-dimensional, cell and molecular profiling data to advance ... A track record demonstrating scientific creativity, collaboration, and independence * Must be a US ...

micro1 AI

Bioinformatics Software Engineer

Columbus, OH · Remote

$80 - $110/hr

Remote micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their ... Assess and review AI-generated outputs for scientific rigor, accuracy, and practical relevance ...

Varsity Tutors

AP Computer Science A Tutor

Columbus, OH · Remote

$18 - $40/hr

Emphasizes developing computational thinking and problem decomposition skills while connecting ... Ability to identify concepts students commonly struggle with, explain material using multiple ...

Jobtailor

Applied ML Scientist - Chemistry

Columbus, OH · On-site

$120 - $180/hr

Develop and select input representations for raw materials, chemistry, and signal data * Select ... Bachelor's degree in Computer Science, Data Science, Computational Chemistry, Cheminformatics, or a ...

Battelle

Senior Mechanical Engineer

Columbus, OH · On-site

$100K - $133K/yr

Applies principles of engineering, physics, and materials science as well as an understanding of ... Designs, develops, and implements numerical methods for Computational Fluid Dynamics or Structural ...

Hexion

Applied ML Scientist - Chemistry

Columbus, OH · On-site

$80 - $120/hr

Minimum Qualifications * Bachelor's degree in Computer Science, Data Science, Computational ... Demonstrated ability to develop molecular and materials representations and to select, train, and ...

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How much do remote computational material science jobs pay per year?

As of Aug 30, 2026, the average yearly pay for remote computational material science in the United States is $83,109.00, according to ZipRecruiter salary data. Most workers in this role earn between $77,500.00 and $93,500.00 per year, depending on experience, location, and employer.

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Remote Computational Material Science jobs near you
A map of the United States highlighting the number of Remote Computational Material Science job openings by state according to ZipRecruiter. The image is accompanied by a detailed chart listing the number of Remote Computational Material Science job openings in each state, with California having the most at 2 and Hawaii the least at 0.

Cheminformatics Specialist - Remote

micro1 AI

Columbus, OH • Remote

$80 - $110/hr

Part-time

Re-posted 8 hours ago

Job description

Role Title: Computational Biology & Cheminformatics Expert


Role Type: Contractor


Location: Remote


micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their expertise to a customer’s computational drug discovery project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Scope of Work

  1. Analyze and interpret small-molecule and drug discovery datasets using advanced computational biology, bioinformatics, and cheminformatics methods.
  2. Curate, annotate, and validate chemical and biological datasets (e.g., ChEMBL, PubChem, DrugBank) to support AI-driven discovery platforms.
  3. Evaluate compound-target interactions, ADMET properties, and lead optimization strategies by integrating chemical, biological, and clinical data sources.
  4. Provide expert insights on structure-activity and structure-property relationships (SAR/SPR), medicinal chemistry approaches, and experimental design considerations.
  5. Build and implement code-based benchmark tasks (e.g., terminal/CLI-based environments) that reflect realistic computational drug discovery scenarios.
  6. Develop reproducible environments (e.g., using Docker) and automated testing pipelines to ensure task correctness and solvability.
  7. Assess and review AI-generated outputs for scientific rigor, accuracy, and practical relevance, delivering detailed written feedback and recommendations.


Preferred Qualifications

  1. Advanced expertise in Computational Biology, Cheminformatics, Medicinal Chemistry, Biochemistry, or related fields; advanced degree (PhD, MSc, PharmD) highly valued but not strictly required.
  2. Strong coding proficiency in Python (beyond analysis scripts), with hands-on experience building tools, pipelines, or testable code; familiarity with Git, GitHub, and Docker.
  3. Extensive experience with cheminformatics toolkits and platforms such as RDKit, KNIME, Schrödinger, OpenEye, or MOE.
  4. Proven track record in small-molecule drug discovery, SAR/QSAR evaluation, ADMET prediction, or virtual screening workflows.
  5. Comfort working with public chemical and bioactivity databases and integrating diverse datasets for scientific analysis.
  6. Demonstrated ability to clearly communicate complex chemical and biological concepts in written feedback and reports.
  7. Experience participating in multidisciplinary and/or remote projects; familiarity with AI-assisted coding tools is a plus.

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