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Remote Computational Materials Science Jobs (NOW HIRING)

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... The Department of Materials Science and Engineering, in the College of Earth and Mineral Sciences ...

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Remote Commitment: 40 hours/week Role Responsibilities * Guide research teams to close knowledge ... Materials Science , or another STEM discipline. * 3+ years of research, academic, or industry ...

... Science Type: Contract Compensation: $70-$100/hour Location: Remote Commitment: 40 hours/week Role ... Materials Science , or other STEM background. * Demonstrated technical expertise in programming ...

... Science Type: Contract Compensation: $70-$100/hour Location: Remote Commitment: 40 hours/week Role ... Materials Science , or other STEM background. * Demonstrated technical expertise in programming ...

Remote Commitment: 40 hours/week Role Responsibilities * Guide research teams to close knowledge ... Materials Science , or another STEM discipline. * 3+ years of research, academic, or industry ...

... materials science, financial modeling, logistics, cybersecurity, and defense. In 2025, the company ... You will play a key role in developing core IP, computational resource models, long-term roadmaps ...

Subject Matter Expert

New York, NY ยท Remote

$70 - $100/hr

Remote Commitment: 40 hours/week Role Responsibilities * Guide research teams to close knowledge ... Materials Science , or another STEM discipline. * 3+ years of research, academic, or industry ...

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... equations, scientific simulation, and other computational challenges arising in engineering ...

... innovation and scientific excellence. We know that our success is a direct result of the ... We continue to invest time, money and energy into making our onsite, hybrid and remote work ...

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Remote Computational Materials Science information

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$56.5K

$83.1K

$98K

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

As of Jul 10, 2026, the average yearly pay for remote computational materials 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 is remote computational materials science?

Remote computational materials science involves using computer simulations and modeling techniques to study and design materials, all while working from a remote location rather than in a physical lab. Researchers in this field use software tools to predict the properties and behaviors of materials at the atomic or molecular level, which can accelerate the discovery of new materials for applications in energy, electronics, and manufacturing. Remote computational materials scientists commonly collaborate with teams online, analyze data, and run simulations on high-performance computing systems accessible via the internet.

What are some common challenges faced when working remotely in computational materials science, and how can they be addressed?

Remote computational materials scientists often encounter challenges such as coordinating with interdisciplinary teams across different time zones and ensuring efficient access to high-performance computing resources. Clear communication through regular virtual meetings and collaborative platforms helps maintain project alignment. Additionally, staying organized with version control systems and thorough documentation is essential for seamless teamwork. Being proactive about addressing technical issues, such as software compatibility or data transfer limitations, also ensures productivity.

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

AspectRemote Computational Materials ScienceRemote Materials Data Analyst
Required CredentialsAdvanced degrees in materials science, physics, or chemistry; experience with computational modelingBachelor's or master's in data science, materials science, or related fields; proficiency in data analysis tools
Work EnvironmentResearch-focused, using simulation software and programmingData processing, visualization, and reporting using analytics platforms
Employer & Industry UsageResearch institutions, R&D departments in manufacturing, tech companiesManufacturers, consulting firms, research labs analyzing material data

Remote Computational Materials Science involves simulating and modeling materials at the atomic or molecular level, requiring programming and scientific expertise. In contrast, Remote Materials Data Analysts focus on analyzing existing material data to inform decisions, emphasizing data skills. Both roles are essential in materials research but differ in their core activities and skill sets.

What are the key skills and qualifications needed to thrive as a Remote Computational Materials Scientist, and why are they important?

To thrive as a Remote Computational Materials Scientist, you need a strong background in materials science, physics, or chemistry, often with a PhD or advanced degree, and expertise in computational modeling. Familiarity with simulation software like VASP, Quantum ESPRESSO, or LAMMPS, as well as proficiency in programming languages such as Python or Fortran, is typically required. Excellent problem-solving skills, self-motivation, and clear written communication are crucial for collaborating remotely and conveying complex results. These competencies enable effective independent research, accurate data analysis, and seamless teamwork in a virtual scientific environment.
More about Remote Computational Materials Science jobs
What cities are hiring for Remote Computational Materials Science jobs? Cities with the most Remote Computational Materials Science job openings:
What are the most commonly searched types of Computational Materials Science jobs? The most popular types of Computational Materials Science jobs are:
What states have the most Remote Computational Materials Science jobs? States with the most job openings for Remote Computational Materials Science jobs include:
Infographic showing various Remote Computational Materials Science job openings in the United States as of July 2026, with employment types broken down into 2% Internship, 70% Full Time, 25% Part Time, 1% Temporary, 1% Contract, and 1% Summer. Highlights an 70% Physical, 1% Hybrid, and 29% Remote job distribution, with an average salary of $83,109 per year, or $40 per hour.
Research Scientist - Computational Neuroscience

Research Scientist - Computational Neuroscience

Astera Institute

Emeryville, CA โ€ข Remote

$90K - $200K/yr

Full-time

Posted 14 days ago


Job description

About Astera:

Astera is a private foundation on a mission to steer science and technology toward an abundant future. We believe the coming years will bring an era of unprecedented scientific and technological advancement as exponential progress in AI converges with central advances in other fields to dramatically accelerate innovation. This inflection point provides an unparalleled opportunity to fundamentally rethink the institutions, systems, and tools that drive scientific progress.

Unlike traditional non-profit research organizations, projects supported by Astera operate like high-velocity startups, allowing us to focus on ambitious goals, match structure to problem, and attract strong technical talent and leadership. You can read more about our mission, vision, and programming here.

Position Summary

Astera Institute is seeking a Research Scientist in Computational Neuroscience to develop computational models of neural circuits and brain function.

Responsibilities:
  • Read, analyze, and synthesize neuroscience, cognitive science, and computational neuroscience literature.

  • Develop biologically plausible computational models of neural circuits, brain regions, and large-scale brain systems.

  • Compare model predictions with experimental data and refine models accordingly.

  • Develop novel algorithms inspired by biological neural computation.

  • Analyze large-scale neural and behavioral datasets to inform and evaluate computational models.

  • Stay current with advances in neuroscience, machine learning, and computational modeling.

  • Propose and pursue original research directions that advance our understanding of brain computation.

  • Make novel scientific contributions to computational neuroscience through the development of new theories and models.

  • Document research findings and communicate results through technical reports, publications, and presentations.

Qualifications and Experience
  • Experience programming in Python

  • Familiarity with scientific computing libraries such as Jax, Pytorch, NumPy, SciPy, or similar tools

  • Research experience in systems, computational, and theoretical neuroscience.

  • Experience working with data analysis, statistics, or machine learning workflows

  • Ability to work independently and communicate technical findings clearly

Preferred Qualifications
  • Experience with machine learning or dynamical systems modeling

  • C++ programming experience is a strong bonus

  • Familiarity with Linux, Git, and high-performance computing environments

Nice-to-Have Areas of Interest
  • Neural circuit modeling

  • Synaptic plasticity and learning

  • Large-scale brain simulations

  • Data-driven modeling of neural systems

  • Interest in wet lab experiments to collect more data or test theories

Education
  • Ph.D. or equivalent demonstrated expertise in Computational Neuroscience, Neuroscience, Computer Science, Physics, Electrical Engineering, Applied Mathematics, or a related discipline.

Location

This position can be remote, hybrid, or onsite at our office in Emeryville, CA. Some travel may occasionally be required for collaboration and team events.

Compensation

The posted wage range is based on location in the Bay Area. The successful candidate will receive a competitive compensation package, commensurate with their experience and location.

  • Benefits Summary

Cultural Alignment
  • Surprising problem-solver โ€“ you love finding unexpected solutions to problems we don't even know we have, and see options where others only see constraints.

  • Flexible by default โ€“ you don't draw hard lines around your job description and expect your role to evolve significantly over 6โ€“12 months.

  • Bias to action โ€“ you launch and iterate on thoughtful experiments rather than waiting for perfect plans, and you're energized by novel problems.

  • High standards, internally driven โ€“ you believe you can build the world's best vehicle for unleashing extraordinary individuals to create public goods, and you hold yourself to that bar without benchmarking against others.

  • Open to feedback โ€“ You create opportunities to give and receive honest feedback, staying focused on both personal and team growth, and committing to transparency even when itโ€™s uncomfortable.

  • Operate with the highest levels of integrity, judgment, and stewardship -- you treat residents, peers, and vendors with genuine respect for their time and contributions.

  • Embrace the tools that define great work today โ€“ Astera is building for an AI-driven future and equips the team accordingly. We see these as genuine force multipliers, not optional extras, and we expect our people to use them.

  • Understand that theories are opinions until theyโ€™re adequately validated with data โ€“ follow the scientific method rigorously.

Compensation Range: $90K - $200K