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Director Computational Materials Science Jobs (NOW HIRING)

Alignerr

$75 - $90/hr

Self-directed and dependable when working independently in an asynchronous environment * Based in ... Background in computational materials science, density functional theory, or related modeling ...

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Director Computational Materials Science information

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$11K

$116.2K

$176.5K

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

As of May 28, 2026, the average yearly pay for director computational materials science in the United States is $116,237.00, according to ZipRecruiter salary data. Most workers in this role earn between $77,500.00 and $151,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Director of Computational Materials Science, and why are they important?

To excel as a Director of Computational Materials Science, you need advanced expertise in materials science, computational modeling, and a PhD or equivalent experience in a related discipline. Familiarity with simulation software (such as VASP or LAMMPS), high-performance computing systems, and relevant programming languages (like Python or Fortran) is typically required, along with a track record of published research. Exceptional leadership, project management, and interdisciplinary communication skills help drive innovation and guide diverse research teams. These abilities are crucial for successfully advancing materials discovery initiatives and achieving organizational research goals.

How does a Director of Computational Materials Science typically collaborate with experimental teams and other departments?

Directors of Computational Materials Science frequently work alongside experimental scientists, engineers, and product development teams to ensure computational models align with real-world results. They facilitate regular meetings to discuss findings, guide research priorities, and integrate computational predictions into experimental design. Strong communication and interdisciplinary collaboration are essential, as directors must translate complex simulation results into actionable insights for non-specialist stakeholders. This cross-functional teamwork drives innovation and accelerates the development of new materials.

What is a Director of Computational Materials Science?

A Director of Computational Materials Science is a senior leadership role responsible for overseeing research and development efforts that use computational modeling and simulation to design and understand materials. They manage teams of scientists and engineers, set strategic research directions, and collaborate with other departments or external partners to drive innovation. This role often requires a strong background in materials science, physics, or chemistry, as well as expertise in computational methods and leadership experience. Directors in this field play a key role in advancing new materials for industries such as electronics, energy, and manufacturing.

What is the difference between Director Computational Materials Science vs Computational Materials Scientist?

AspectDirector Computational Materials ScienceComputational Materials Scientist
CredentialsAdvanced degrees (Ph.D.), leadership experienceTypically Ph.D. or Master's in materials science, physics, or related fields
Work EnvironmentLeads teams, manages projects, strategic planningConducts research, develops models, performs simulations
Employer & Industry UsageResearch institutions, large corporations, R&D divisionsAcademic labs, industry R&D, tech companies
Search & Comparison IntentLeadership roles, strategic responsibilitiesTechnical expertise, hands-on research

The main difference is that the Director Computational Materials Science oversees research teams and strategic initiatives, while the Computational Materials Scientist focuses on conducting simulations and technical research. Both roles require strong technical credentials, but the director position emphasizes leadership and project management.

More about Director Computational Materials Science jobs
What cities are hiring for Director Computational Materials Science jobs? Cities with the most Director 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 Director Computational Materials Science jobs? States with the most job openings for Director Computational Materials Science jobs include:
What job categories do people searching Director Computational Materials Science jobs look for? The top searched job categories for Director Computational Materials Science jobs are:
Director Computational Materials Science jobs near you
Infographic showing various Director Computational Materials Science job openings in the United States as of May 2026, with employment types broken down into 6% As Needed, 6% Full Time, and 88% Part Time. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution, with an average salary of $116,237 per year, or $55.9 per hour.

Material Science Specialist (Masters/PhDs)

Alignerr

New Bremen, OH • Remote

Full-time

Posted 11 days ago

Job description

Material Science Specialist (AI Training) About The Role What if your deep expertise in semiconductor materials or molecular modeling could directly shape how AI understands and reasons about the physical world? We're looking for Materials Science specialists — Masters and PhD holders — to help build and train cutting-edge AI models that tackle real scientific problems. This is a fully remote, flexible contract role designed for domain experts who want to put their academic and research background to meaningful use.

No prior AI experience needed — your scientific knowledge is what matters. Organization: Alignerr Type: Hourly Contract Location: Remote Commitment: 10–40 hours/week What You'll Do Develop, solve, and review advanced materials science problems with real-world scientific relevance Apply your expertise in semiconductor materials, molecular modeling, or related specializations to craft complex, high-quality problem statements Collaborate asynchronously with AI researchers and fellow domain experts to strengthen AI model reasoning Ensure scientific rigor, clarity, and depth across all deliverables Use Python or MATLAB where relevant to support problem design and validation Who You Are Master's or PhD in Materials Science or a closely related field from a recognized university Deep expertise in semiconductor materials, molecular modeling, or adjacent areas Comfortable coding in Python or MATLAB for research or applied projects Exceptionally clear written communicator — you can explain complex science with precision Detail-oriented and self-motivated when working independently Fluent in English Nice to Have Prior experience with data annotation, data quality evaluation, or AI training workflows Background in applied research, industry R&D, or academic publishing Familiarity with computational materials science tools or simulation frameworks Why Join Us Work on cutting-edge AI projects alongside leading research labs and AI teams Fully remote and flexible — work on your own schedule, from anywhere Freelance autonomy with the structure of meaningful, expert-level work Apply your scientific knowledge in a new and high-impact domain Potential for ongoing work and contract extension as new projects launch #J-18808-Ljbffr

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