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Lila Sciences

AI-powered scientific discovery for medicines

Director of Product - Life Sciences, Chemistry

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

About the Job

Requirements

  • An MS, PhD, or equivalent experience in biochemistry, protein science, medicinal chemistry, chemical biology, or a related field.
  • Deep understanding of drug discovery and development workflows, including the assays and methods that drive decision-making.
  • A track record of advancing therapeutic programs from molecules toward the clinic, or of building platforms and products others used to do so.
  • At least 7 years of product leadership experience (PM, Group PM, Product Lead) building and launching complex technical products such as therapeutic platforms, scientific software or hardware, simulation and modeling platforms, data products, or ML-enabled systems.
  • Strong executive communication, including clear storytelling and decisions legible to technical and non-technical audiences.
  • Ability to influence across research, engineering, operations, and commercial teams.
  • An output- and impact-focused approach, driven by delivered results against mission and program goals.

Responsibilities

  • Set the long-term product vision, roadmap, and portfolio priorities for therapeutics products spanning antibodies, nucleic acids, targeted delivery, in vivo cell therapy, and small molecules.
  • Translate frontier platform capability into commercial therapeutic programs, defining target product profiles across design, expression and synthesis, characterization, developability, and scale-up for pharma and biotech partners.
  • Drive product execution from concept to launch across science, machine learning, automation, data engineering, and software.
  • Represent product to executives, scientific leaders, partners, and customers as the senior external voice for the domain.
  • Own commercial outcomes end-to-end, including opportunity shaping, proposal development, deal closure, and revenue for the domain.
  • Define success metrics and milestones (technical, product, and commercial) and report progress clearly to leadership.

Desired Qualifications

  • Experience with automated or self-driving labs and working with machine learning approaches relevant to drug discovery and molecular science.
  • Following the rapid evolution of large language models and other artificial intelligence solutions, with considered views on their impact on scientific discovery and product development.
  • Background partnering with biopharma or research organizations to define collaborative milestones and workflows.

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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