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Lila Sciences

AI-powered scientific discovery for medicines

Associate Director / Director - Customer Program Management, Life Sciences

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

About the Job

Requirements

  • At least 8 years of experience in the pharmaceutical or biotechnology industry in roles associated with drug discovery or development, project management, or operations.
  • At least 5 years in program management, project management, or a similar cross-functional coordination role with direct responsibility for timelines, resourcing, and tracking.
  • Ability to independently drive execution across complex, multidisciplinary programs with significant scientific and commercial stakes.
  • Strong understanding of drug discovery and development processes, with the ability to engage credibly with scientific stakeholders and communicate across therapeutic and technical domains.
  • Experience managing programs with external partners, including milestone management, governance, and stakeholder communication.
  • Ability to distill complex scientific and operational information for executive leadership and external partners.
  • Ability to influence without authority and drive alignment across cross-functional teams.

Responsibilities

  • Own end-to-end project management for active therapeutic programs, including timeline development, resource coordination, milestone tracking, and dependency management across product, science, machine learning, and automation teams.
  • Drive day-to-day execution discipline by ensuring internal teams have clear priorities, deliverables, and decision points, and by identifying and resolving blockers quickly.
  • Manage resource allocation discussions and trade-off decisions across a complex set of priorities, such as balancing experiments between AI model training and near-term partnership deliverables.
  • Establish and maintain program-level reporting, including status updates, milestone tracking, and resource utilization views for internal leadership and external deliverables.
  • Proactively identify, communicate, and manage program risks, escalating appropriately and ensuring transparency with scientific and executive leadership.
  • Structure and facilitate internal program meetings, decision forums, and reviews, ensuring the right information reaches the right people at the right time.
  • Serve as the primary operational interface with partner organizations, coordinating joint governance, managing deliverable timelines, and driving alignment on milestones and expectations.
  • Translate internal program status into clear, structured updates for external partners, ensuring transparency without overexposing internal complexity.
  • Support alliance obligations, including joint steering committees, milestone reporting, and deliverable handoffs.
  • Partner with scientific and product leadership to ensure program plans reflect platform capabilities and partner-specific program goals and business objectives.
  • Lead development of scalable project management practices, templates, and tools as the partnership portfolio grows.
  • Help build repeatable operating models for planning, tracking, and delivering partner programs.

Desired Qualifications

  • Experience working at or partnering with AI-native or platform-based drug discovery companies.
  • Experience managing external collaborations in a discovery or preclinical setting, such as alliance management, CRO/CDMO oversight, or joint research programs.
  • Familiarity with project management tools and methodologies, including critical path analysis, scenario planning, resource management, and portfolio reporting.
  • Familiarity with the rapid evolution of large language models and AI-driven science platforms, and a perspective on their impact on partnership models in drug discovery.

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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