1

Computational Materials Science Jobs in Washington

Develop and apply advanced experimental thermometries and/or computational models. Mentor graduate and undergraduate students. Minimum Qualifications: PhD in Mechanical Engineering, Materials Science ...

Scientific Data Analyst

Arlington, VA · On-site

$110K - $115K/yr

  • Medical

  • Retirement

  • PTO

In this role, you will provide computational, data science, and bioinformatics support for Office ... Ensure all published materials meet 508-compliance standards * Present complex analytical results ...

Emphasizes mathematical rigor in chemical reasoning and connects physical chemistry to materials science, nanotechnology, and computational chemistry applications. * Curriculum Awareness & Adaptive ...

Emphasizes mathematical rigor in chemical reasoning and connects physical chemistry to materials science, nanotechnology, and computational chemistry applications. * Curriculum Awareness & Adaptive ...

Showing results 21-40

Computational Materials Science information

See Washington salary details

$159.2K

$188.7K

$215.1K

How much do computational materials science jobs pay per year?

As of Aug 18, 2026, the average yearly pay for computational materials science in Washington is $188,680.00, according to ZipRecruiter salary data. Most workers in this role earn between $173,800.00 and $203,400.00 per year, depending on experience, location, and employer.

What is computational materials science?

Computational materials science is a field that uses computer-based simulations and modeling to understand, predict, and design the properties and behaviors of materials. Researchers use mathematical models, algorithms, and high-performance computing to study materials at the atomic, molecular, or macroscopic level. This approach allows scientists to accelerate the discovery of new materials, optimize existing ones, and investigate phenomena that may be difficult or expensive to study experimentally.

What are computational materials science jobs?

Jobs in computational materials science include academic and research positions in university settings. You can also find positions in the manufacturing industry. As a research scientist in computational materials science, your duties are to develop hypotheses and test them using computational modeling software and a variety of investigatory tools, such as Monte Carlo algorithms, density function theory, phase field models, and finite element methods. Your responsibilities include gathering data, testing modeling software, collaborating with other researchers to develop tools that aid them in their research, and analyzing data to write reports, journal articles, or presentations for conferences.

What are the key skills and qualifications needed to thrive as a computational materials scientist, and why are they important?

To thrive as a Computational Materials Scientist, you need a solid background in materials science, physics, or chemistry, often with a graduate degree and experience in scientific computing. Proficiency with simulation software (such as VASP, LAMMPS, or Quantum ESPRESSO), programming languages (like Python, C++, or Fortran), and familiarity with high-performance computing systems is typically required. Critical thinking, problem-solving abilities, and effective collaboration and communication skills set outstanding candidates apart. These competencies are crucial for designing, executing, and interpreting complex simulations and for translating computational insights into real-world materials innovations.

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

Professionals in Computational Materials Science often encounter challenges such as dealing with large datasets, managing the complexity of multi-scale simulations, and ensuring the accuracy of computational models. Addressing these challenges typically involves staying updated on the latest simulation software, collaborating closely with experimental teams to validate results, and developing strong programming and data analysis skills. Effective communication and interdisciplinary teamwork are also key, as projects often require input from chemists, physicists, and engineers to achieve successful outcomes.

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

AspectComputational Materials ScienceMaterials Engineer
Required CredentialsTypically requires a PhD or Master's in materials science, physics, or chemistryBachelor's or Master's in materials engineering or related field
Work EnvironmentResearch labs, universities, or R&D departments focusing on simulations and modelingManufacturing plants, design offices, or product development teams
Industry UsagePrimarily in research, academia, and advanced R&D projectsProduction, quality control, and product development in manufacturing industries
Common Search/ComparisonYesYes

Computational Materials Science focuses on using computer simulations and modeling to understand and predict material behavior, often requiring advanced degrees. Materials Engineers work on designing, testing, and improving materials in practical applications, usually with a bachelor's or master's degree. While both roles are integral to materials development, Computational Materials Science is more research-oriented, whereas Materials Engineering emphasizes application and production.

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

The most popular types of Computational Materials Science jobs in Washington are:

What job categories do people searching Computational Materials Science jobs in Washington look for?

The top searched job categories for Computational Materials Science jobs in Washington are:

What cities in Washington are hiring for Computational Materials Science jobs?

Cities in Washington with the most Computational Materials Science job openings:

Infographic showing various Computational Materials Science job openings in Washington as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 10% Part Time, 3% Temporary, 6% Contract, and 1% Nights. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $188,680 per year, or $90.7 per hour.

High School Computer Science Tutor

Varsity Tutors

College Park, MD • Remote

$18 - $40/hr

Part-time

Re-posted 14 days ago


Varsity Tutors rating

5.7

Company rating: 5.7 out of 10

Based on 16 frontline employees who took The Breakroom Quiz

14th of 24 rated private schools and tutoring


Job description

About the Job
The Varsity Tutors Live Learning Platform has thousands of students looking for online High School Computer Science tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the flexibility to set your own schedule, earn competitive rates, and make a real impact on students' academic success and understanding. All from the comfort of your home.
Why Join Our Platform?
  • Earn incrementally higher pay for each session with the same student, reaching up to $40/hour.
  • Get paid up to twice per week, ensuring fast and reliable compensation for the tutoring sessions you conduct and invoice.
  • Set your own hours and tutor as much as you'd like.
  • Tutor remotely using our purpose-built Live Learning Platform. No commuting required.
  • Get matched with students best-suited to your teaching style and expertise.
  • Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson generation, and engagement features, helping you save prep time and focus on impactful teaching.
  • We handle the logistics—you just invoice for your tutoring sessions, and we take care of payments.

What We Look For In a High School Computer Science Tutor
  • Advanced Subject Mastery: Deep knowledge of computational thinking, programming fundamentals in Python or Java, data types, control structures, functions, arrays, basic algorithms, debugging, and introductory concepts in cybersecurity and data. Ability to explain algorithm efficiency, Boolean logic, and binary representation while preparing students for AP Computer Science courses, college computer science, and technology careers.
  • Conceptual Teaching & Problem-Solving: Skilled at teaching programming logic, problem decomposition, and debugging strategies for high school students new to computer science. Guides students through writing programs with variables and loops, implementing simple algorithms, designing solutions to computational problems, and using development environments. Emphasizes building computational thinking skills and connects computer science to robotics, game design, and real-world technology applications.
  • Curriculum Awareness & Adaptive Instruction: Familiar with high school computer science standards including CSTA frameworks and common challenges such as abstract thinking about algorithms, debugging syntax and logic errors, and building persistence through coding challenges. Adapts instruction using visual programming tools, interactive coding platforms, and engaging projects to support students from introductory exploring computer science through pre-AP preparation.
  • Effective Teaching Methods: Ability to identify concepts students commonly struggle with, explain material using multiple approaches, and adapt instruction to meet individual learning needs and styles.
  • Strong communication skills and a friendly, engaging teaching style.
  • Ability to adapt to different learning styles and student needs.

Ways To Connect With Students
  • 1-on-1 Online Tutoring - Provide personalized instruction to individual students.
  • Instant Tutoring - Accept on-demand tutoring requests whenever you're available.

About Varsity Tutors And 1-on-1 Online Tutoring
Our mission is to transform the way people learn by leveraging advanced technology, AI, and the latest in learning science to create personalized learning experiences. Through 1-on-1 Online Tutoring, students receive customized instruction that helps them achieve their learning goals. Our platform is designed to match students with the right tutors, fostering better outcomes and a passion for learning.
Please note: Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New Hampshire, North Dakota, Vermont, West Virginia or Puerto Rico.

What Varsity Tutors employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom