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Remote Graduate Materials Science Jobs in Sandy, UT

micro1 AI

Physics Modeling Expert - Remote

West Jordan, UT · Remote

$80 - $140/hr

Remote micro1 is engaging Physics Experts (PhD / Postdoc) to contribute deep scientific knowledge ... Flag ambiguities in project materials, proposing well-reasoned interpretations and clarifications ...

micro1 AI

Physics Modeling Expert - Remote

Provo, UT · Remote

$80 - $140/hr

Remote micro1 is engaging Physics Experts (PhD / Postdoc) to contribute deep scientific knowledge ... Flag ambiguities in project materials, proposing well-reasoned interpretations and clarifications ...

IQVIA

Clinical Trial Psych Rater

American Fork, UT · Remote

$62K - $156K/yr

Remote/Virtual Hours: Estimated 10-16 hours per month Role: Clinical Specialist About IQVIA IQVIA ... Our team combines deep scientific expertise with cutting-edge technology to deliver high-quality ...

New

micro1 AI

Senior Scientific Reviewer - Physics

Provo, UT · On-site +1

$80 - $150/hr

Remote (US, Canada, UK focused) micro1 is engaging Physics Experts (Postdoc / Junior professor) to ... science and technology sector. In this role, you'll apply your expertise to help train next ...

micro1 AI

Research Consultant - Physics AI

Provo, UT · Remote

$80 - $140/hr

Remote micro1 is engaging Physics Experts (PhD / Postdoc) to contribute deep scientific knowledge ... Flag ambiguities in project materials, proposing well-reasoned interpretations and clarifications ...

micro1 AI

Research Consultant - Physics AI

West Jordan, UT · Remote

$80 - $140/hr

Remote micro1 is engaging Physics Experts (PhD / Postdoc) to contribute deep scientific knowledge ... Flag ambiguities in project materials, proposing well-reasoned interpretations and clarifications ...

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All JobsGraduate Materials Science JobsRemote Graduate Materials Science JobsRemote Graduate Materials Science Jobs in Sandy, UT

Remote Graduate Materials Science information

See Sandy, UT salary details

$50.4K

$117.8K

$164.4K

How much do remote graduate materials science jobs pay per year?

As of Aug 17, 2026, the average yearly pay for remote graduate materials science in Sandy, UT is $117,807.00, according to ZipRecruiter salary data. Most workers in this role earn between $88,800.00 and $158,700.00 per year, depending on experience, location, and employer.

What is a remote graduate materials scientist?

A Remote Graduate Materials Scientist is an early-career professional, typically with a recent degree in materials science or a related field, who conducts research, analysis, or development work from a remote location. Their responsibilities may include analyzing material properties, running simulations, and contributing to the development of new materials or products, all while collaborating virtually with teams and supervisors. This role is ideal for those seeking flexibility and the ability to work from anywhere, often relying on digital tools to perform experiments, analyze data, and communicate results.

What are the key skills and qualifications needed to thrive as a remote graduate materials scientist?

To succeed as a Remote Graduate Materials Scientist, you need a solid background in materials science or engineering, typically with a relevant degree and familiarity with research methodologies. Proficiency in data analysis tools (such as MATLAB or Python), materials characterization software, and possibly knowledge of simulation platforms is often required. Strong problem-solving abilities, communication skills, and the capacity for independent work are essential soft skills for remote collaboration and innovation. These competencies enable effective research, clear reporting of results, and seamless teamwork in a virtual environment.

What are some common challenges faced by remote graduate materials science professionals, and how can they be addressed?

Remote graduate materials science professionals often face challenges such as limited access to laboratory equipment, difficulties in collaborating on hands-on experiments, and potential isolation from their research teams. To address these, it is important to leverage virtual collaboration tools, stay proactive in communicating with mentors and peers, and seek out remote-accessible datasets or simulation software. Many organizations also support remote professionals through regular virtual meetings and access to online training resources, helping ensure continued professional development and team integration.

What is the difference between Remote Graduate Materials Science vs Remote Materials Engineer?

AspectRemote Graduate Materials ScienceRemote Materials Engineer
Required CredentialsBachelor's or Master's in Materials Science or related fieldBachelor's or Master's in Materials Engineering or related field
Work EnvironmentResearch, data analysis, lab simulations (remote-friendly)Design, testing, and development of materials (remote options vary)
Industry UsageResearch institutions, manufacturing, academiaManufacturing, aerospace, automotive, tech companies
Search & Comparison IntentEntry-level, research-focused rolesDevelopment and application-focused roles

The main difference is that Remote Graduate Materials Science roles typically focus on research, data analysis, and academic or lab-based tasks suitable for recent graduates. In contrast, Remote Materials Engineer positions involve applying engineering principles to develop and test materials, often in industry settings. Both roles require similar educational backgrounds but differ in job focus and responsibilities.

What job categories do people searching Remote Graduate Materials Science jobs in Sandy, UT look for?

The top searched job categories for Remote Graduate Materials Science jobs in Sandy, UT are:

Remote Graduate Materials Science jobs near you

Computational Physics Specialist - Remote

micro1 AI

Salt Lake City, UT • Remote

$80 - $140/hr

Part-time

Posted 15 days ago

Job description

Role Title: Physics Expert (PhD / Postdoc)


Role Type: Contractor.


Location: Remote


micro1 is engaging Physics Experts (PhD / Postdoc) to contribute deep scientific knowledge and problem-solving skills to a high-impact 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. Solve advanced physics problems from your specialization, delivering rigorous, well-documented derivations and analyses.
  2. Produce technically precise, clearly written solutions, detailing all assumptions, approximations, and final results using LaTeX mathematical notation.
  3. Utilize SymPy, Python, and Jupyter for symbolic or numerical verification and clear computational workflows where relevant.
  4. Identify and articulate subtleties in problem statements, including special cases, boundary conditions, and dimensional consistency.
  5. Flag ambiguities in project materials, proposing well-reasoned interpretations and clarifications as needed.
  6. Iterate on submitted solutions in response to feedback from project reviewers, ensuring corrections are cleanly integrated.
  7. Uphold rigorous standards in documentation and reproducibility consistent with professional research practice.


Preferred Qualifications

  1. PhD in physics or advanced-stage PhD candidacy, with active research experience in a relevant subfield.
  2. Research expertise in one or more of: High Energy Physics, Mathematical Physics, Biophysics, Statistical Physics, Condensed Matter (including moiré systems, magnetism, PXP/Rydberg), AMO/Quantum Optics, Gravitation, Cosmology, Astrophysics, Quantum Information, or Optical Properties of Materials.
  3. 2–5 recent representative publications (past ~5 years) in your field, with accessible arXiv or DOI records.
  4. Proficiency with LaTeX for presenting mathematics, and with SymPy, Python, and Jupyter for computational work; willingness to indicate areas for further support if needed.
  5. Demonstrated excellence in written technical communication, with a track record of producing clear, precise, and well-argued scientific outputs.
  6. Strong analytical skills, able to isolate key physical principles and provide nuanced solutions to complex problems.
  7. Availability to engage with the project consistently over an 8–10 week period (approx. 10 hours/week).

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