Lila Sciences
Scientist I/II, Characterization and Composition Analysis
Cambridge, MA USA · Mid · Full-time
Sponsorship not specified$108k-$170kDetected 37 days ago
PythonMachine LearningData AnalysisSEMRecruitingControlsMicroscopyCommunication
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odds of building a lasting career here
57Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role90
Entry-level history0
PERM / green-card track0
Lottery odds (Level III)83
Fits your clock70
Sponsors, but it's cap-subject — you still face the weighted lottery (~45% per draw at Level III). Good if you win; have a cap-exempt backup on your list.
Lottery odds assume a STEM candidate.
Personalize to your clock →Employer immigration record
from this employer's Department of Labor filings
Files H-1B transfers
10 transfer filings in the last year, covering 10 workers. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.
Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.
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About the role
- This is a hybrid experimental and software-facing role, centered on hands-on characterization with substantial analyzer development.
- You will work with X-ray fluorescence (XRF), SEM-based energy-dispersive spectroscopy (SEM-EDS), wavelength-dispersive spectroscopy (WDS), and related analytical instruments.
- Your final offer will reflect your background, expertise, and expected impact.
Responsibilities
- 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 Sciences is building Scientific Superintelligence™ to solve humankind's greatest challenges.
- Rather than hard-coding expert knowledge into tools, LILA builds systems that can learn for themselves.
Nice to have
- Prepare standards, run samples, interpret spectra, and troubleshoot measurement issues.
- PhD in Materials Science, Chemistry, Physics, Engineering, or a related field, or M.S. with equivalent hands-on characterization experience.
- Hands-on experience with XRF, SEM-EDS, and WDS for elemental analysis.
- In-depth knowledge of the physical principles behind XRF, EDS, and WDS analysis, including signal generation, matrix effects, calibration, quantification, and common sources of error.
- Strong understanding of calibration, quantification, spectral interpretation, and data-quality control.
- Experience preparing standards, validating methods, and troubleshooting measurement issues.
- Experience writing analysis notebook and maintaining shared, tested code in a version-controlled codebase.
- Proficiency with Python or an equivalent coding environment for data analysis, automation, or analyzer development.
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.
- 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
- Expected Base Salary Range
- $108,000 - $170,000 USD
- USD salary ranges apply only to U.S.-based positions; international salaries are set to local market.
Benefits
- 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
- International Benefits.
- Full-time employees outside the U.S. receive a comprehensive benefits program tailored to their region.
Visa & Work Authorization
- al employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status
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This listing is sourced directly from Lila Sciences's careers page and normalized into a canonical job model.