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Material Science Jobs in Massachusetts (NOW HIRING)

$65K - $75K/yr

Use chemical and physical science expertise to select appropriate analytical technologies and techniques to characterize organic and inorganic materials. * Develop analytical methodologies and ...

This powerful combination of "AI for science" and material engineering enables batteries that can be used across various applications, including transportation (land and air), energy storage ...

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Assistant/Associate Scientist

Devens, MA ยท On-site

$35 - $42/hr

Education: * Minimum BS required with 2+ years of industry experience or MSc in Chemical Engineering, Biochemical Engineering, Material Science Engineering, Chemistry or equivalent scientific ...

Have solid understanding of the fundamentals of materials science and polymer development * Passionate about testing and troubleshooting, not afraid to test hundreds of times * Love to harness data ...

Have solid understanding of the fundamentals of materials science and polymer development * Passionate about testing and troubleshooting, not afraid to test hundreds of times * Love to harness data ...

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Material Science information

See Massachusetts salary details

$10

$24

$34

How much do material science jobs pay per hour?

As of Sep 3, 2026, the average hourly pay for material science in Massachusetts is $24.25, according to ZipRecruiter salary data. Most workers in this role earn between $20.48 and $27.55 per hour, depending on experience, location, and employer.

What is a material science?

A Material Science job involves researching, developing, and testing materials to improve their properties for various applications. Material scientists work with metals, ceramics, polymers, and composites to enhance performance in industries like aerospace, healthcare, and manufacturing. They analyze the structure and properties of materials to innovate and create new products or improve existing ones. These professionals often collaborate with engineers and manufacturers to ensure materials meet required standards for durability, sustainability, and cost-effectiveness.

What are some typical projects and day-to-day tasks in a material science position?

Material Science professionals often engage in researching, testing, and developing new materials or improving existing ones to meet specific industry needs. Typical tasks might include preparing and analyzing material samples, conducting experiments in labs, interpreting test data, and collaborating closely with engineering or product development teams. You may also be involved in troubleshooting manufacturing processes or supporting quality assurance efforts. These roles frequently require documenting findings, presenting results, and contributing to cross-departmental meetings, making every day varied and dynamic. Many positions offer hands-on involvement as well as opportunities for cross-functional teamwork.

What are the key skills and qualifications needed to thrive in a material science position, and why are they important?

To thrive in Material Science, you need a solid background in physics, chemistry, materials engineering, and problem-solving, usually supported by at least a bachelor's degree in materials science or a related discipline. Familiarity with scientific instrumentation, materials characterization software, and quality control systems is often required, along with certifications such as Six Sigma or experience with ISO standards. Strong analytical thinking, clear communication, and collaborative skills distinguish outstanding professionals in this field. These competencies enable effective research, innovation, and seamless teamwork in developing and optimizing new materials for various industries.

What do you do with a material science degree?

A material science degree prepares individuals for careers in research, development, and testing of materials such as metals, polymers, ceramics, and composites. Graduates often work in industries like aerospace, automotive, electronics, and manufacturing, utilizing skills in laboratory analysis, materials characterization, and engineering design. Job roles may include materials engineer, research scientist, quality control analyst, or product development specialist.

What jobs can you do with material science?

Material science graduates can pursue careers as materials engineers, research scientists, quality control specialists, or product development engineers. These roles involve analyzing, testing, and developing materials such as metals, polymers, ceramics, and composites, often requiring knowledge of laboratory techniques and computer-aided design tools.

What are the most commonly searched types of Material Science jobs in Massachusetts?

The most popular types of Material Science jobs in Massachusetts are:

What cities in Massachusetts are hiring for Material Science jobs?

Cities in Massachusetts with the most Material Science job openings:

Infographic showing various Material Science job openings in Massachusetts as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 22% Part Time, and 3% Contract. Highlights an 75% Physical, 4% Hybrid, and 21% Remote job distribution, with an average salary of $50,436 per year, or $24.2 per hour.

AI Residency Program, Material Science (2026 Cohort)

Lila Sciences

Cambridge, MA โ€ข On-site, Remote

Full-time

Re-posted 8 days ago


Job description

AI Resident - 2026 Cohort

The AI Residency Program is a full-time research opportunity designed to bridge the gap between academic research and industry applications in AI for materials science. Residents will work closely with Lila scientists and engineers on high-impact, open-science projects, with the option to focus on either fundamental or applied research.

  • Duration: 6-12 months (extension possible)
  • Start Dates: First hires beginning January 2026, with rolling applications and additional intakes in Summer and Fall 2026
  • Cohort Size: Small group of selected residents
  • Mentorship: Pairing with technical mentors, feedback from cross-functional teams
  • Resources: Access to proprietary datasets, high-performance compute, and Lila's research infrastructure

Research areas include ML-accelerated simulations, Bayesian methods, representation learning, generative models, agentic science, and ML-driven automation.

ย 
Application Requirement:
Please submit yourย resume alongside a research proposal (up to 3 pages, unlimited references) outlining the project you would plan to pursue during your residency at Lila Sciences. Please submit your research proposal as your cover letter. Applications without both documents will not be considered. Optional supporting materials (e.g., recommendation letters, publications, research artifacts) may also be included.ย 

Your Impact at Lila

The Lila Sciences AI Residency is a full-time research program at the intersection of artificial intelligence and materials science. As a resident, you'll join a cohort of researchers tackling open-ended scientific challenges alongside Lila's world-class team of scientists and engineers. With access to proprietary datasets, high-performance compute infrastructure, and experienced mentors, you'll pursue ambitious research projects with both academic and real-world impact. Publishing is encouraged but not required - what matters most is pushing the frontier of scientific discovery.

What You'll Be Building

  • Design and execute independent research projects in AI for materials science
  • Collaborate with Lila scientists and engineers on cutting-edge, open-science initiatives
  • Explore domains such as ML-accelerated simulations, Bayesian methods, representation learning, generative AI, agentic science, and ML-driven automation
  • Contribute to collaborative team research and co-develop novel approaches to scientific discovery
  • Share findings internally and externally; publications are welcome but not mandatory

What You'll Need to Succeed

  • Degree in Materials Science, Chemistry, Computer Science, AI/ML, Physics, Mathematics, or related field (Bachelor's, Master's, or PhD)
  • Proficiency in Python and deep learning frameworks (e.g., PyTorch)
  • Experience working with large-scale datasets or simulations
  • Familiarity with modern AI/ML architectures and training techniques
  • Strong research background, demonstrated through publications, thesis work, or open-source projects

Bonus Points For

  • Prior work on ML applications in scientific domains (e.g., materials discovery, chemistry, simulations)
  • Familiarity with Bayesian optimization, active learning, or generative models
  • Experience in reinforcement learning or agent-based approaches to scientific reasoning
  • Open-source contributions or collaborative research experience
  • Strong communication and writing skills, especially for conveying complex scientific ideas