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Remote Computational Material Science Jobs Near Me

Remote micro1 is engaging Computational Biology Experts to contribute their advanced scientific knowledge to a dynamic customer project. In this role, you'll apply your expertise to help train next ...

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 ...

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

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 ...

Emphasizes mathematical rigor in chemical reasoning and connects physical chemistry to materials science, nanotechnology, and computational chemistry applications. * Curriculum Awareness & Adaptive ...

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Remote Computational Material Science information

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$56.5K

$83.1K

$98K

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

As of Aug 3, 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.
What job categories do people searching Remote Computational Material Science jobs look for? The top searched job categories for Remote Computational Material Science jobs are:
What cities are hiring for Remote Computational Material Science jobs? Cities with the most Remote Computational Material Science job openings:
What states have the most Remote Computational Material Science jobs? States with the most job openings for Remote Computational Material Science jobs include:
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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.

Computational Biologist - AI Reviewer

micro1 AI

Columbus, OH • On-site, Remote

$90 - $120/hr

Part-time

Posted 6 days ago


Job description

Role Title: Computational Biology Expert


Role Type: Contractor


Location: Remote


micro1 is engaging Computational Biology Experts to contribute their advanced scientific knowledge to a dynamic customer 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 annotate complex biological data sets, focusing on applications relevant to medicinal chemistry.
  2. Provide feedback and domain-specific insights to improve AI models in computational biology contexts.
  3. Evaluate scientific content for accuracy, relevance, and clarity, ensuring data aligns with industry standards.
  4. Develop and review problem sets, case studies, or scenarios based on real-world medicinal chemistry challenges.
  5. Collaborate asynchronously with other experts to validate findings and share perspectives on project deliverables.
  6. Contribute to the refinement of data curation methodologies and best practices in computational biology.


Preferred Qualifications

  1. Advanced degree (PhD, PharmD, or MSc) in computational biology, medicinal chemistry, bioinformatics, or a closely related field.
  2. Demonstrated expertise in medicinal chemistry, including experience with drug discovery or design.
  3. Strong analytical skills with a deep understanding of biological datasets and scientific literature.
  4. Experience applying computational methods to solve problems in chemistry or biology.
  5. Proficiency with relevant bioinformatics tools, cheminformatics platforms, or data analysis software.
  6. Excellent written communication skills to clearly explain complex scientific concepts to diverse audiences.
  7. Previous participation in cross-disciplinary or AI-driven scientific projects is a plus.