Senior Manager, Scientific Discovery Capacity Planning
Lila Sciences · Cambridge, MA USA · One Charles Park, Cambridge, MA
CHECKED 16H AGO
Bio & Science AIonsitesenior$140k–$173k
At a glance
Highlights
- Own end-to-end capacity planning linking customer demand to delivery.
- Scale AI Science Factories from research to commercial operations.
- Build Integrated Business Plan connecting operations, science and finance.
What they offer
- Competitive base compensation with bonus potential and generous early-stage equity
- Medical, dental, and vision coverage
- Employer-paid life and disability insurance
- Flexible time off with generous company-wide holidays
- Paid parental leave
- Educational assistance program
- Commuter benefits
- Company-subsidized lunch program
Ideal candidate
A cross-functional owner who thrives in ambiguous scientific environments and loves turning complex operational data into clear, profitable growth plans.
Requirements
- Has worked in detail across a technical, scientific, or laboratory landscape quickly and translated it into strategic processes
- 6-8+ years of experience in strategic finance, business or revenue operations, or operations
- Demonstrated ability to integrate AI tools to redesign workflows and drive measurable impact
- Demonstrated experience building and operationalizing a planning tool, system, or process
- Experience defining a data model or planning framework from first principles, including units of measure and standard definitions
- Demonstrated ability to manage cross-functional stakeholders across multiple disciplines while operating with ownership
- Bachelor's degree in finance, economics, engineering, operations, or a directly related technical field
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