Director/Senior Director, Molecular Discovery
Lila Sciences · Cambridge, MA USA; London, UK; San Francisco, CA USA · Alewife, Cambridge, MA
CHECKED 13H AGO
Bio & Science AIonsitedirector$202k–$323k
At a glance
Highlights
- Own small-molecule programs from hit identification to candidate nomination.
- Ensure autonomous discovery engine delivers validated candidates toward clinic.
- Drive continuous improvement of platform throughput, quality and performance.
What they offer
- Competitive base compensation with bonus potential and early-stage equity
- Medical, dental, and vision coverage
- Employer-paid life and disability insurance
- Flexible time off with company-wide holidays
- Paid parental leave
- Educational assistance program
- Commuter benefits including bike share
- Company-subsidized lunch program
Ideal candidate
Seasoned drug discovery leader with 12+ years driving small-molecule programs to clinic who thrives at the AI-science interface and loves operational rigor, throughput, and turning autonomous platforms into real candidates.
Requirements
- Ph.D. in medicinal chemistry, computational chemistry, chemical biology, or related discipline
- 12+ years in small molecule drug discovery with 5+ years in senior role advancing hit-to-lead to candidate selection
- Demonstrated involvement in programs that delivered clinical candidates
- Deep fluency in medicinal chemistry principles, SAR and lead optimization tradeoffs
- Operational mindset running discovery programs with metrics, milestones and accountability
- Strong working knowledge of ADMET, DMPK and IND-enabling data packages
- Fluency with AI/ML-driven molecular design and judgment on computational output
- Effective communicator translating scientific and operational status for leadership
Lab profile
About Lila Sciences
Building an autonomous science platform where AI, automation, and biology co-evolve for medicine and materials.
What they build
- Autonomous Science Platform
- AI-designed biologics validated in wet-lab
- Electro-optic materials and photonic devices
Known for
- Large-scale automated data generation
- High-throughput protein purification and analytics
- Protein design and BioML modeling
- Robotic orchestration and lab simulation