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Lila Sciences

AI-powered scientific discovery for medicines

Senior Manager, Scientific Discovery Capacity Planning

Supply Chain ManagementConfirmed live in the last 24 hours
Full-timeCambridge, MA, USAIn-person

About the Job

Requirements

  • Has worked in detail across a technical, scientific, or laboratory landscape quickly and translated it into strategic processes.
  • Has 6–8+ years of experience in strategic finance, business or revenue operations, or operations.
  • Can integrate AI tools to redesign workflows and drive measurable impact.
  • Has experience building and operationalizing a planning tool, system, or process.
  • Has experience defining a data model or planning framework from first principles, including units of measure and standard definitions.
  • Can manage cross-functional stakeholders across multiple disciplines while operating with ownership.
  • Has a bachelor’s degree in finance, economics, engineering, operations, or a directly related technical field.

Responsibilities

  • Build, own, and execute end-to-end capacity planning processes for every commercial proposal and scientific capability.
  • Translate demand forecasts into resource, staffing, and capacity plans while identifying bottlenecks and quantifying the cost and lead time to close them.
  • Maintain the authoritative record of capacity commitments across the active pipeline.
  • Define standard units of measure, batch definitions, and workflow-to-demand mappings that connect Operations, Scientific, Commercial, and Financial data into a single Integrated Business Plan.
  • Design and build the evolving toolset required to support Integrated Business Planning for the lab of the future.
  • Partner with Product and deal teams to embed capacity assessment early while informing company roadmap and strategy.
  • Distill complex, ambiguous operational data into clear recommendations for audiences ranging from individual scientists to executive leadership.

Desired Qualifications

  • Experience standing up a capacity or resource planning function from scratch.
  • Advanced technical expertise in deep-tech, biotech, life sciences, or AI/platform businesses.
  • Familiarity with building repeatable processes and systems alongside highly technical teams.

About the Company

Lila Sciences

AI-powered scientific discovery for medicines

Lila.ai uses artificial intelligence to speed up scientific discovery in medicines and advanced materials. The system ingests large sets of scientific data, experimental results, and literature to identify patterns, generate hypotheses, and guide research programs. It differentiates itself by tackling deep scientific problems at scale and combining AI with domain expertise, rather than offering generic tools. The goal is to help humanity by delivering new medicines and materials that solve major biological and materials challenges through data-driven discovery.

Company size
501-1,000
Company stage
Series A
Total funding
$550M
Headquarters
Cambridge, MA
Founded
2024

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