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Lila Sciences

AI-powered scientific discovery for medicines

Head of Chemistry - Chemistry Experiment

Physical SciencesConfirmed live in the last 24 hours
Full-timeCambridge, MA, USAIn-person

About the Job

Requirements

  • A PhD in Chemistry or a closely related discipline and at least 12 years of experience in chemistry research.
  • Demonstrated excellence building and leading high-performing chemistry teams, including hiring, mentoring, and developing scientists across multiple levels.
  • Deep expertise in molecular chemistry, including synthetic organic and inorganic chemistry, nanochemistry, retrosynthesis, route design, and practical execution of complex multistep syntheses.
  • Experience in process chemistry, formulation development, and analytical chemistry.
  • Ability to evaluate synthetic feasibility alongside innovation potential to prioritize molecules and chemical series effectively.
  • Experience defining chemistry strategy and priorities with cross-functional collaboration.
  • Experience working effectively in highly interdisciplinary environments spanning chemistry, materials science, biology, automation, and computational sciences.
  • Track record of scientific leadership, program delivery, and translating discoveries to commercializable solutions.
  • Ability to translate chemistry depth into strategic clarity for diverse audiences through written and verbal communication.
  • Demonstrated ability to build inclusive, high-trust team cultures that attract and retain top talent in competitive chemistry markets.

Responsibilities

  • Build and lead the growing chemistry organization to establish chemistry experimentation spanning organic and inorganic chemistries across molecular and nanoparticle modalities.
  • Recruit, mentor, and develop high-performing chemists and leaders across chemistry domains; establish and model a culture of scientific rigor, innovation, and collaboration.
  • Define chemistry strategy, priorities, and organizational roadmap in partnership with Product, Autonomous Science, and AI leadership.
  • Establish operational practices and standards that maintain scientific data quality and cross-functional collaboration.
  • Own organizational development for Chemistry, including growth planning, capability roadmapping, and developing internal talent.
  • Represent chemistry strategy, capabilities, and perspectives in executive stakeholder forums.
  • Lead the design of capabilities and execution of synthetic routes for automated high-throughput synthesis and characterization with deep AI integration.
  • Work with Product and AI to align the Chemistry autonomous science platform with the Commercial and Scientific Superintelligence roadmaps.
  • Develop and implement efficient workflows for iterative design-make-test cycles in collaboration with AI and commercial teams.
  • Partner with automation and platform teams to establish robotic and high-throughput chemistry capabilities that expand accessible chemical space and accelerate synthetic chemistry.

Desired Qualifications

  • Experience working in AI-enabled discovery environments or integrating computational design and machine learning insights into chemistry workflows.
  • Experience building and scaling automated, robotics-enabled, or high-throughput chemistry platforms for molecular synthesis and optimization.
  • Experience translating chemistry needs into platform requirements, including instrumentation selection, workflow design, and integration with automated systems.
  • Broad understanding of molecular design principles across therapeutics and other small-molecule innovation areas.
  • Experience operating in fast-paced, technology-driven environments where scientific creativity, speed, and cross-functional execution are critical.
  • Prior leadership experience at a growth-stage chemistry, biotech, or other deep-tech company.

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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