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Remote Materials Informatics Scientist Jobs in Seattle, WA

Remote (US, Canada, UK focused) micro1 is engaging Physics Experts (Postdoc / Junior professor) to ... Materials). * Experience as a postdoctoral researcher, research fellow, junior/assistant professor ...

Remote (US, Canada, UK focused) micro1 is engaging Physics Experts (Postdoc / Junior professor) to ... Materials). * Experience as a postdoctoral researcher, research fellow, junior/assistant professor ...

Software Engineer

Seattle, WA · On-site +1

$118K - $183K/yr

Employee divides their time between in-office and remote work. Access to an office location is ... What you bring Basic * BS in Computer Science, Electrical Engineering, Informatics, or relevant ...

United States (Redmond, WA, or Palo Alto, CA, or Remote) About Centific Centific is a recognized ... Computer Science, Artificial Intelligence, Computational Biology, Biomedical Informatics, or a ...

New

Software Engineer

Seattle, WA · On-site +1

$146K - $235K/yr

Employee divides their time between in-office and remote work. Access to an office location is ... Science, Electrical Engineering, Information Systems, Informatics, or equivalent * 5+ years of ...

Remote online tutoring Materials: Yes Requirement: Bachelor's degree and at least 2 years of ... Bachelor of Arts/Science degree from a highly reputable university. * A track record of having ...

Showing results 41-60

Remote Materials Informatics Scientist information

See Seattle, WA salary details

$48.4K

$112K

$189.5K

How much do remote materials informatics scientist jobs pay per year?

As of Aug 20, 2026, the average yearly pay for remote materials informatics scientist in Seattle, WA is $111,992.00, according to ZipRecruiter salary data. Most workers in this role earn between $79,700.00 and $139,400.00 per year, depending on experience, location, and employer.

What is the difference between Remote Materials Informatics Scientist vs Remote Materials Data Analyst?

AspectRemote Materials Informatics ScientistRemote Materials Data Analyst
Required CredentialsAdvanced degree in materials science, informatics, or related field; knowledge of data science and programmingBachelor's or master's in materials science, data analysis, or related field; proficiency in data tools
Work EnvironmentResearch-focused, interdisciplinary teams, often in R&D settingsData-driven roles within manufacturing, quality control, or research teams
Employer & Industry UsageUsed in R&D labs, tech companies, and materials innovation firmsCommon in manufacturing, quality assurance, and analytics departments

The Remote Materials Informatics Scientist focuses on developing models and algorithms to analyze materials data, often requiring advanced degrees and research experience. In contrast, the Remote Materials Data Analyst primarily interprets existing data to support decision-making, typically with a bachelor's or master's degree. Both roles are vital in materials industries but differ in scope, responsibilities, and required expertise.

What are popular job titles related to Remote Materials Informatics Scientist jobs in Seattle, WA?

For Remote Materials Informatics Scientist jobs in Seattle, WA, the most frequently searched job titles are:

What job categories do people searching Remote Materials Informatics Scientist jobs in Seattle, WA look for?

The top searched job categories for Remote Materials Informatics Scientist jobs in Seattle, WA are:

What cities near Seattle, WA are hiring for Remote Materials Informatics Scientist jobs?

Cities near Seattle, WA with the most Remote Materials Informatics Scientist job openings:

Infographic showing various Remote Materials Informatics Scientist job openings in Seattle, WA as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 13% Part Time, 1% Temporary, 3% Contract, and 1% Nights. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $111,992 per year, or $53.8 per hour.

Senior Scientific Reviewer - Physics

micro1 AI

Kent, WA • On-site, Remote

$80 - $150/hr

Part-time

Posted 18 days ago


Job description

Role Title: Physics Expert (Postdoc / Junior professor)


Role Type: Contractor


Location: Remote (US, Canada, UK focused)


micro1 is engaging Physics Experts (Postdoc / Junior professor) to participate in a high-impact project supporting a customer in the science and technology sector. 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. Critically evaluate and review physics solutions, mathematical derivations, and theoretical arguments generated by researchers or AI platforms.
  2. Detect errors, unjustified steps, missing assumptions, dimensional inconsistencies, and weaknesses in logic or methodology.
  3. Delineate between substantive scientific issues and stylistic or cosmetic matters, providing technically precise written feedback.
  4. Articulate and document the reasoning behind any identified flaws, ensuring actionable guidance for improvement.
  5. Recognize when correct reasoning can be optimized, and offer suggestions to sharpen or clarify the argument.
  6. Utilize LaTeX, SymPy, Python, and Jupyter to independently verify or counter-check scientific claims as appropriate.
  7. Deliver structured feedback designed to support iterative enhancement of submitted work and project outcomes.


Preferred Qualifications

  1. PhD in physics and an active record of independent research within a specialized subfield (e.g., High Energy/Mathematical Physics, Biophysics/Statistical Physics, Condensed Matter, AMO/Quantum Optics, Gravitation/Cosmology, Quantum Information, or Optical Materials).
  2. Experience as a postdoctoral researcher, research fellow, junior/assistant professor, or senior research scientist.
  3. Recent (last ~5 years) representative publications in the relevant subfield, with arXiv or DOI links.
  4. Advanced proficiency with LaTeX, SymPy, Python, and Jupyter for theoretical modeling and computational validation.
  5. Demonstrated skill in reviewing the work of others—through peer review, supervision, dissertation committees, or group seminars.
  6. Exceptional written communication skills with the ability to convey nuanced, constructive feedback with technical rigor.
  7. Reliable access to high-speed internet and a computer suitable for rigorous technical work.