Lilasciences

Lilasciences

Director/Senior Director, Molecular Discovery

Cambridge, MA USA · Director · Full-time

Sponsorship not specified$202k-$323kDetected 30 days ago
Machine LearningRecruitingRoboticsPharmacologyAnimal StudiesLeadership

About the role

  • 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.
  • We believe science is the most inspiring frontier for AI.

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.
  • Own small molecule discovery programs against assigned targets, from hit identification through lead optimization and candidate nomination.
  • Facilitate relationships with CROs and external partners for specialized studies (e.g., in vivo pharmacology, safety pharmacology, DMPK) that sit outside the automated platform.

Requirements

  • Architect the components of each discovery program end to end, specifying the required assays, building or sourcing the right capabilities, and managing the scientific staff needed to execute.

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
  • $202,400 - $323,400 USD

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 Lilasciences's careers page and normalized into a canonical job model.