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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 Jun 18, 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.

Can I get a job with a computer science degree?

A remote computational material science position often requires a strong background in computer science, programming skills, and knowledge of scientific computing tools. Many such roles are available remotely, especially in research, data analysis, and simulation, and may require familiarity with programming languages like Python or C++ and experience with cloud computing environments.

What can you do with a computational science degree?

A computational science degree prepares individuals for roles such as computational material scientist, data analyst, simulation engineer, or research scientist. These roles involve using programming, modeling, and simulation tools to analyze complex systems, often requiring knowledge of programming languages like Python or C++ and familiarity with high-performance computing environments.

Is material science high paying?

Remote computational material science roles tend to offer competitive salaries, especially for those with advanced degrees, strong programming skills, and experience with simulation tools. Salaries can vary based on industry, location, and level of expertise, but generally, these positions are well-compensated within the scientific and engineering fields.

What is the difference between Remote Computational Material Science vs Remote Materials Data Analyst?

AspectRemote Computational Material ScienceRemote Materials Data Analyst
Required CredentialsAdvanced degrees in materials science, physics, or chemistry; programming skillsBachelor's or master's in materials science, data analysis, or related fields; proficiency in data tools
Work EnvironmentResearch labs, universities, or corporate R&D teams; focus on simulations and modelingData-focused roles in corporate or research settings; emphasis on data interpretation and visualization
Industry UsageResearch institutions, tech companies, manufacturingManufacturing, tech firms, consulting
Common Search/ComparisonYesYes

Remote Computational Material Science involves using simulations and modeling to understand material properties, requiring advanced technical skills. In contrast, Remote Materials Data Analysts focus on analyzing and visualizing data related to materials, often with less emphasis on modeling. Both roles are vital in materials research and industry, but they differ in technical focus and daily tasks.

Is computational materials science Q1 or q2?

Computational materials science is a research-focused field that involves modeling and simulating material properties using computational methods. It is not classified as Q1 or Q2, which are typically categories used for journal rankings or funding levels; instead, it is a specialized discipline within materials science and engineering that often requires knowledge of programming, physics, and chemistry.
More about Remote Computational Material Science jobs
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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:
Remote Computational Material Science jobs near you
Infographic showing various Remote Computational Material Science job openings in the United States as of June 2026, with employment types broken down into 12% As Needed, 28% Full Time, 12% Part Time, 4% Temporary, and 44% Contract. Highlights an 76% Physical, 1% Hybrid, and 23% Remote job distribution, with an average salary of $83,109 per year, or $40 per hour.
Remote Bioinformatics Scientist-481639

Remote Bioinformatics Scientist-481639

Stealth Startup

Anaheim, CA • Remote

Other

Medical, PTO

Posted 9 days ago

Job description

About Us

We are building the gold-standard data layer that AI drug discovery platforms will run on. Partnered with leading AI labs, global tech companies, and top pharma, we're a fast-growing Palo Alto-based team on a mission to accelerate drug discovery through AI.


The Role

You don't need an AI background — you need deep scientific expertise. In this role, you'll use your research experience in bioinformatics to help fine-tune large language models (like ChatGPT) built for drug discovery.


What You'll Do

  • Perform bioinformatics analysis and provide drug development expertise for assigned work.
  • Provide expert scientific feedback to AI researchers from leading labs, helping shape how AI models interpret drug discovery workflows in bioinformatics and computational biology contexts.


What We're Looking For

  • PhD in Bioinformatics, Computational Biology, Systems Biology, or a related life sciences or physical sciences field (postdocs, biopharma scientists, and industry researchers welcome)
  • 3+ years of bioinformatics research experience


Offer Details

  • Commitment: 15–30 hours/week (with overlap in PST)
  • Compensation: Highly competitive, top 10% of industry rates
  • Engagement: Contractor/freelancer (no medical or paid leave)
  • Duration: 1 month, with possible extension
  • Remote: Fully remote, collaborative environment

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