Lila Sciences

Lila Sciences

Scientist II/ Senior Scientist, BioML

San Francisco, CA USA · Senior · Full-time

Sponsorship not specified$228k-$358kDetected 37 days ago
PythonMachine LearningRecruitingBioinformaticsResearchLeadershipCollaborationBiostatistics

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odds of building a lasting career here

61Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role90
Entry-level history0
PERM / green-card track0
Lottery odds (Level IV)94
Fits your clock70

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.

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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

  • Then you will help close the loop: at Lila, when the evidence to ground or test a system does not exist, we generate it.
  • The core of this role is to decide what is worth measuring and closing that loop.
  • Define what a good answer is, and score whether a system reached it for the right reason rather than a plausible-sounding one. - Analyze the biological data that grounds these systems.

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.

Requirements

  • Experience evaluating language models or agents on scientific judgment tasks, including contamination and memorization controls.
  • Experience designing or applying structured evidence frameworks, curated resources, or controlled vocabularies that other people depend on.

Nice to have

  • Evidence judgment, and the instinct to make it into a system.
  • Clear communication.
  • Ability to explain methods, assumptions, results, and limitations to both technical and interdisciplinary audiences.

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
  • $228,000 - $358,000 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

This listing is sourced directly from Lila Sciences's careers page and normalized into a canonical job model.