Physics Jobs in Massachusetts
Physics jobs in Massachusetts are among the most active in the nation, concentrated in research universities, defense and aerospace contractors, biomedical instrumentation firms, and national laboratories anchored around Greater Boston, Cambridge, and the Route 128 corridor. Major employers with a lasting presence include MIT Lincoln Laboratory, Raytheon Technologies, and Mass General Brigham, which draw physicists into roles ranging from early-career research associate to senior principal scientist. The most in-demand specialties are condensed matter physics, medical physics, and applied optics. See the openings below and apply to the ones that match your experience.
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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 USD - $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. 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.
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 USD - $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. 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.
See All 10 Physics Jobs in Massachusetts
Find roles in Massachusetts that match your experience and apply in just a few clicks.
Find Physics JobsPhysics Jobs by City in Massachusetts
Where Massachusetts roles are concentrated, by current openings.
Physics Job Market in Massachusetts
A snapshot from current Massachusetts openings, updated as new roles post.
Who's Hiring
Top Industries Hiring
- Biotechnology & Pharmaceuticals
What Massachusetts Employers Look For
The qualifications that appear most often in physics jobs across Massachusetts.
- Bachelor's or advanced degree in physics or a closely related physical science
- Experience with laboratory instrumentation, data acquisition systems, or computational modeling
- Proficiency in Python, MATLAB, or similar scientific computing environments
- Familiarity with radiation safety protocols or board certification for medical physics roles
- Strong written and verbal communication skills for grant writing and technical reporting
- Active security clearance or eligibility for defense and national laboratory positions
Physics Jobs in Massachusetts: Frequently Asked Questions
How do you become a physics in Massachusetts?
Most physics roles in Massachusetts require at minimum a bachelor's degree in physics, though research and senior positions at universities, national labs, and defense contractors typically require a master's or doctorate. Medical physicists practicing clinically must be board certified through the American Board of Radiology or American Board of Medical Physics and may need to meet Massachusetts Department of Public Health radiation control requirements. Academic and industrial roles generally prioritize research experience, publications, or applied project work over a state license.
Which companies hire physicss in Massachusetts?
Companies currently hiring physicss in Massachusetts include MIT Lincoln Laboratory, DeepMind, and Novartis, per current listings on Migrate Mate as of August 2026. Massachusetts's dense concentration of defense primes, academic medical centers, and photonics and semiconductor firms means openings appear across a wide range of employer types and seniority levels.
Which Massachusetts cities have the most physics jobs?
Lexington, Boston, and Cambridge account for the largest share of physics openings in Massachusetts. Greater Boston and Cambridge dominate because of MIT, Harvard, and the clusters of biotech and defense contractors along Route 128, while cities like Lexington and Burlington host major laboratory and aerospace facilities that generate consistent demand outside the urban core.
Are there remote physics jobs in Massachusetts?
Yes, but they're relatively limited. About 20% of physics openings tied to Massachusetts are remote or hybrid as of August 2026, reflecting the hands-on nature of much laboratory and instrumentation work. The roles most likely to offer remote or hybrid arrangements are computational physics, data analysis, and theoretical modeling positions where the work does not depend on physical lab access.
How can I get hired as a physics in Massachusetts with little or no experience?
The most realistic entry path is through a research assistantship or co-op program while completing your degree, as institutions like MIT, UMass Amherst, and Northeastern run structured programs that feed directly into junior staff roles. Entry-level titles such as research associate, junior scientist, or laboratory technician are the common first step. Building a portfolio of computational projects or instrumentation work and obtaining radiation safety training strengthens applications considerably at medical centers and defense-adjacent employers.
Where can I find and apply to physics jobs in Massachusetts?
You can find and apply to physics jobs in Massachusetts on Migrate Mate, which lists current openings tied to the state. Search for roles that fit your background, experience level, and preferred location, then apply directly to the ones that match.
See All 10 Physics Jobs in Massachusetts
Find roles in Massachusetts that match your experience and apply in just a few clicks.
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