Lila Sciences
Data Scientist II / Senior Data Scientist, Life Sciences
Cambridge, MA USA · Senior · 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 (~61% per draw at Level IV). 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
This range already reaches Level IV — the maximum four lottery entries.
DOL prevailing wage, 2026-27 wage year · Operations Research Analysts (15-2031) · 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.
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About the role
- At Lila, teams are deeply cross-functional and collaborative.
- We seek people with inclusive mindsets, diverse perspectives, and comfort working in creative, fast-moving environments.
- If this sounds like an environment you'd love to work in, even if you only have some of the experience listed below, we encourage you to apply.
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
- Translate experimental and operational questions into well-scoped analyses.
- Integrate analytical workflows with centralized data lake and AI platform systems.
- Identify gaps in LIMS flows, data management, and automation workflows.
- Strong background in biological sciences, life sciences data, or bioinformatics.
- Strong Python proficiency for scientific data analysis, including pandas, numpy, and scipy.
- Solid grounding in applied statistics and exploratory data analysis.
- Experience eliciting, documenting, and validating requirements from scientific and technical stakeholders.
- Ability to identify unstated assumptions and clarify ambiguous analytical requests.
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
- $140,800 - $217,800 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.
Company info
- We are pioneering a new age of boundless discovery by applying AI to every aspect of the scientific method, enabling scientists to solve challenges in human health, climate, and sustainability at a pace and scale not previously possible.
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.