Research Scientist, Thin Films

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

• Fertility benefits: Not verified
• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

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Relocation assistance

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Childcare support

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Learning budget

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Verification

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Salary

$160K-$220K not verified - source not recorded; timestamp not recorded

401(k) match

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Market context

U.S. role benchmark (BLS OEWS)

$111,944 U.S. median for this role

Projected growth (BLS Employment Projections)

+13.7% - Much faster than average

70% above the BLS role benchmark for data and ml aggregate.

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Schedule

Shift type

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Weekend work

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Application

Cover letter

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Assessment

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Deadline

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Where they hire

State eligibility is not yet verified.

About this role

Research Scientist, Thin Films Menlo Park, California, United States About Periodic Labs The most important scientific discoveries of our time won't happen in a traditional lab. We're an AI and physical sciences company building state-of-the-art models to accelerate breakthroughs across materials, energy, and beyond. Backed by world-class investors and growing rapidly, we operate at the pace the frontier requires. Our team brings deep expertise, genuine ownership, and an insatiable drive to push the boundaries of what's scientifically possible. About the Role Join a world-class team of scientists and engineers pushing the boundaries of materials research in a groundbreaking lab where AI and automation unlock discoveries at unprecedented speed and scale. As a Research Scientist in Thin Film Materials Discovery, you will lead thin-film synthesis efforts using advanced PVD platforms, building the experimental foundation for autonomous discovery loops. You will collaborate with computational and AI scientists, and partner with engineers designing next-generation automated laboratory infrastructure. What You'll Do - Develop synthesis strategies to realize novel thin-film materials predicted by AI - Determine and control crystal structures, defects, microstructures, and properties of previously unrealized compounds - Partner with AI and computation teams to build predictive models of materials growth and properties grounded in physics and chemistry - Work with engineers to design, test, and deploy automated growth and characterization hardware You Will Thrive in This Role If You Have - PhD in chemistry, physics, or materials science, with 5+ years of hands-on experience - Deep expertise with thin-film synthesis methods such as

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