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From Home Computational Materials Science Jobs (NOW HIRING)

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Technical Product Manager

Woburn, MA · On-site +1

$200K - $225K/yr

  • Medical

This role requires deep literacy in computational materials science and AI4Science to coordinate ... Bridge scientific research and engineering by defining how scientific findings (e.g., from DFT/MD ...

Socket.dev

Technical Product Manager

Woburn, MA · On-site

$200 - $225/hr

  • Medical

This role requires deep literacy in computational materials science and AI4Science to coordinate ... Bridge scientific research and engineering by defining how scientific findings (e.g., from DFT/MD ...

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All JobsComputational Materials Science JobsFrom Home Computational Materials Science Jobs

From Home Computational Materials Science information

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$142.5K

$168.8K

$192.5K

How much do from home computational materials science jobs pay per year?

As of Aug 14, 2026, the average yearly pay for from home computational materials science in the United States is $168,844.00, according to ZipRecruiter salary data. Most workers in this role earn between $155,500.00 and $182,000.00 per year, depending on experience, location, and employer.

How do remote computational materials scientists typically collaborate with experimental teams and other researchers?

Remote computational materials scientists often work closely with experimentalists, data scientists, and other researchers through virtual meetings, shared cloud-based platforms, and collaborative tools like version control systems. Regular video conferences and clear documentation are essential for staying aligned on project goals and integrating computational findings with experimental results. While working from home offers flexibility, it also requires strong communication skills to ensure successful interdisciplinary collaboration and timely project delivery.

Are materials scientists in demand?

Materials scientists, including those specializing in computational materials science, are in demand due to ongoing research and development in industries such as electronics, aerospace, and energy. They often require skills in modeling, simulation, and programming, and employment prospects are generally strong with opportunities in academia, government labs, and private sector companies.

What is a from home computational materials science job?

A 'From Home Computational Materials Science' job involves conducting research, simulations, and data analysis related to materials science using computer-based methods, all while working remotely. Professionals in this field use software to model the properties and behaviors of materials, predict new material structures, and optimize material performance for various applications. These roles often require a strong background in physics, chemistry, programming, and computational modeling, and they allow scientists and engineers to contribute to research projects without needing to be physically present in a laboratory or office setting.

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

To thrive as a remote Computational Materials Scientist, you need a strong background in materials science, physics, or chemistry, typically supported by an advanced degree (MS or PhD) and expertise in computational modeling. Proficiency in programming languages such as Python or C++, experience with simulation software (e.g., VASP, LAMMPS), and familiarity with high-performance computing environments are essential. Strong problem-solving abilities, self-motivation, and effective communication skills help you collaborate virtually and manage independent research. These skills and qualities are crucial for conducting complex simulations, publishing research, and contributing to interdisciplinary teams in a remote work setting.

What is the difference between From Home Computational Materials Science vs Computational Materials Engineer?

AspectFrom Home Computational Materials ScienceComputational Materials Engineer
CredentialsTypically requires a PhD or Master's in Materials Science, Physics, or related fieldsRequires a degree in Materials Science, Engineering, or related disciplines; often a Master's or PhD
Work EnvironmentPrimarily remote, using computer simulations and modeling softwareUsually in-office or hybrid, combining lab work and computer modeling
Industry UsageUsed in research, academia, and some R&D departmentsCommon in manufacturing, R&D, and product development sectors

From Home Computational Materials Science focuses on remote research and simulation work, while Computational Materials Engineer often involves hands-on engineering and on-site collaboration. Both roles require advanced degrees and involve modeling, but differ in work environment and application.

More about From Home Computational Materials Science jobs

What cities are hiring for From Home Computational Materials Science jobs?

Cities with the most From Home Computational Materials Science job openings:

What are the most commonly searched types of Computational Materials Science jobs?

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What states have the most From Home Computational Materials Science jobs?

States with the most job openings for From Home Computational Materials Science jobs include:

What job categories do people searching From Home Computational Materials Science jobs look for?

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From Home Computational Materials Science jobs near you
Infographic showing various From Home Computational Materials Science job openings in the United States as of August 2026, with employment types broken down into 2% As Needed, 70% Full Time, 24% Part Time, and 4% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $168,844 per year, or $81.2 per hour.

Research Scientist, Computational Condensed Matter Physics

Lila Sciences

Cambridge, MA • On-site

$176K - $304K/yr

Full-time

Medical, Dental, Vision, Life

Posted 17 days ago

Job description

Your Impact at LILA
Your role will involve applying computational condensed matter physics and electronic structure expertise to accelerate materials discovery, optimization, and understanding. You will use first-principles modeling, atomistic simulations, scientific machine learning, and agentic AI systems to investigate complex materials with direct relevance to superconductors, quantum materials, or electronic devices.
You will work at the intersection of physics-based simulation, AI/ML, and autonomous scientific workflows. The focus is on using computational insight to identify promising materials, explain structure-property relationships, guide optimization, and help agents reason over simulation and experimental data in scientifically grounded ways.
This is a hands-on research role for someone who can connect deep condensed matter and electronic structure expertise with practical materials discovery impact. You will collaborate with computational scientists, AI researchers, software engineers, and experimental teams to turn simulations, models, and scientific reasoning into actionable hypotheses and discovery workflows.
What You'll Be Building
  • Apply computational condensed matter physics to materials discovery and optimization.
  • Use computational physics methods (such as electronic structure and phonon calculations) to study quantum materials, superconductors and electronic devices.
  • Connect simulation outputs to experimental observations and develop workflows that close the loop between computation and experiment.
  • Build predictive models from computational and experimental data to guide materials selection and optimization.
  • Analyze simulation and experimental data to generate actionable materials hypotheses.
  • Partner with ML, software, and experimental teams on discovery workflows.
  • Communicate physical insights, model limitations, and recommendations to collaborators.

What You'll Need to Succeed
  • PhD or equivalent experience in Physics, Materials Science, Chemistry, Applied Mathematics, or a related field.
  • Strong foundation in computational condensed matter physics, electronic structure, or atomistic simulation.
  • Deep understanding of electronic-structure theory (quantum chemistry, DFT, beyond-DFT methods, etc.) and their application to electronic, magnetic, or quantum materials.
  • Experience applying first-principles or atomistic methods to materials discovery, optimization, or understanding.
  • Familiarity with superconductors, quantum materials, electronic materials, semiconductors, or device-relevant materials systems.
  • Strong programming skills in Python and scientific computing workflows.

Bonus Points For
  • Experience working with amorphous materials, vibrational properties calculations and advanced electronic structure methods.
  • Experience applying AI/ML to computational materials science or physics-based simulation data.
  • Familiarity with agentic AI systems, autonomous scientific workflows, or simulation-aware agents.
  • Background working with quantum materials, superconductors, semiconductors, or electronic device materials.
  • Experience integrating computational predictions with experimental characterization, device measurements, or closed-loop optimization workflows.
  • Ability to communicate physical insight, uncertainty, and model limitations to cross-functional collaborators.

Compensation
We offer competitive base compensation with bonus potential and generous early-stage equity. Your final offer will reflect your background, expertise, and expected impact.
U.S. Benefits. Full-time U.S. employees receive a comprehensive benefits program including medical, dental, and vision coverage; employer-paid life and disability insurance; flexible time off with generous company wide holidays; paid parental leave; an educational assistance program; commuter benefits, including bike share memberships for office based employees; and a company subsidized lunch program.
International Benefits. Full-time employees outside the U.S. receive a comprehensive benefits program tailored to their region. USD salary ranges apply only to U.S.-based positions; international salaries are set to local market.
Expected Base Salary Range
$176,000-$304,000 USD
About LILA
Lila Sciences is building Scientific Superintelligence™ to solve humankind's greatest challenges. We believe science is the most inspiring frontier for AI. Rather than hard-coding expert knowledge into tools, LILA builds systems that can learn for themselves.
LILA combines advanced AI models with proprietary AI Science Factory™ instruments into an operating system for science that executes the entire scientific method autonomously, accelerating discovery at unprecedented speed, scale, and impact across medicine, materials, and energy. Learn more at www.lila.ai.
Guided by our core values of truth, trust, curiosity, grit, and velocity, we move with startup speed while tackling problems of historic importance. If this sounds like an environment you'd love to work in, even if you don't meet every qualification listed above, we encourage you to apply.
We're All In
Lila Sciences is committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.
Information you provide during your application process will be handled in accordance with our Candidate Privacy Policy.
A Note to Agencies
Lila Sciences does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Lila Sciences or its employees is strictly prohibited unless contacted directly by Lila Science's internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Lila Sciences, and Lila Sciences will not owe any referral or other fees with respect thereto.

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