Lila Sciences
Associate Scientist/Scientist I, Protein Science Developability
Cambridge, MA USA · Mid · Full-time
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odds of building a lasting career here
Sponsors, but it's cap-subject — you still face the weighted lottery (~30% per draw at Level II). Good if you win; have a cap-exempt backup on your list.
Lottery odds assume a STEM candidate.
Personalize to your clock →H-1B wage level
the lottery is wage-weighted — each level is one more entry
The bottom of this range ($88,000) is below the Level I prevailing wage of $90,730. An H-1B cannot be filed below the prevailing wage, so an offer at the floor of this band could not be sponsored as posted.
Based on the DOL prevailing wage for this occupation and worksite, a base salary of $114,795 would place this position at wage Level II. That figure is within the posted range, and I'd like to target it. This role classifies under "Biochemists and Biophysicists" for prevailing-wage purposes.
DOL prevailing wage, 2026-27 wage year · Biochemists and Biophysicists (19-1021) · Boston-Cambridge-Newton, MA-NH. Wage level is derived by USCIS from the offered wage, occupation and worksite; the occupation shown is inferred from the job title.
Employer immigration record
from this employer's Department of Labor filings
Files H-1B transfers
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
- You will work at the intersection of protein sciences and laboratory automation, partnering closely with AI scientists, automation engineers, and cross-functional research teams to accelerate scientific workflows.
- Your final offer will reflect your background, expertise, and expected impact.
- USD salary ranges apply only to U.S.-based positions; international salaries are set to local market.
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.
Nice to have
- Ensure data quality, documentation, and reproducibility in all experiments
- actively contribute to knowledge sharing and continuous improvement initiatives.
- MS in Biochemistry, Biophysics, Bioengineering, Molecular Biology, or a related field with 4+ years of relevant experience, or PhD in a related discipline with 0-2 years of postdoctoral or industry experience.
- Familiarity with assay development, optimization, and data analysis for bioassay techniques such as ELISA, AlphaLisa, SPR/BLI, and functional activity assays.
- Strong laboratory data analysis, digital recordkeeping (e.g., Benchling), and collaborative scientific workflows.
- Outstanding analytical and problem-solving skills with meticulous attention to data quality and reproducibility.
- Experience working with laboratory automation platforms and high-throughput screening workflows.
- Familiarity with additional protein characterization techniques such as CE-SDS, SEC-MALS or DSF.
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
- $88,000 - $144,000 USD
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
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
This listing is sourced directly from Lila Sciences's careers page and normalized into a canonical job model.