Associate Director / Director of Program Management, Life Sciences

Lila Sciences Lila Sciences · AI Frontier · One Charles Park, Cambridge, MA · Corporate Development

This role is for a Program Manager in the Life Sciences sector at Lila Sciences. The primary focus is on planning, executing, and delivering therapeutic programs by managing internal science, engineering, and automation teams. The role also involves serving as an operational interface with external pharmaceutical and biotech partners, ensuring smooth communication and deliverables. While the company utilizes AI and ML in its drug discovery platform, this specific role is centered on program management and operational execution rather than direct AI/ML development or research.

What you'd actually do

  1. 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
  2. Drive day-to-day execution discipline; ensuring that internal teams have clear priorities, deliverables, and decision points, and that blockers are identified and resolved quickly
  3. Manage resource allocation discussions and trade-off decisions across a complex set of priorities (e.g., balancing experiments between AI model training and near-term partnership deliverables)
  4. Establish and maintain program-level reporting, including status updates, milestone tracking, and resource utilization views for internal leadership and external deliverables
  5. Proactively identify, communicate, and manage program risks, escalating appropriately and ensuring transparency with scientific and executive leadership

Skills

Required

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

Nice to have

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

What the JD emphasized

  • AI model training
  • AI-driven science platforms