Lila Sciences
Senior Research Associate / Associate Scientist, Characterization
Cambridge, MA USA · Senior · Full-time
Sponsorship not specified$80k-$118kDetected 1 day ago
Data AnalysisSEMRecruitingMicroscopyResearchCommunication
About the role
- The person in this role will run and troubleshoot core characterization methods, including SEM, optical microscopy, and XRD, while helping bring new instruments and protocols into reliable use.
- This is a hands-on role for someone who enjoys careful experimental work, dependable lab operations, and practical method development.
- 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.
- Maintain instrument readiness through checks, calibration, documentation, and troubleshooting.
- Develop and refine protocols for new tools, methods, and sample types.
- Deliver high-quality measurement data with clear records and traceable methods.
- Partner with Materials Science, platform, and operations teams on campaign needs.
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
- $80,000 - $118,000 USD
- USD salary ranges apply only to U.S.-based positions; international salaries are set to local market.
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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