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Lila Sciences

AI-powered scientific discovery for medicines

Senior Product Designer 2 / Staff Product Designer

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

About the Job

Requirements

  • At least 5 years of product design, UX design, or interaction design experience.
  • A strong portfolio demonstrating end-to-end product design and shipped product impact.
  • Experience designing complex, data-rich, technical, or operational software products.
  • Ability to simplify ambiguous technical workflows into clear product experiences.
  • Strong interaction design, information architecture, and systems thinking skills.
  • Experience partnering with product managers, engineers, and domain experts.
  • Comfort using modern AI tools for design exploration, prototyping, and synthesis.

Responsibilities

  • Design end-to-end Lila App workflows for scientists, ResOps, and LAS users.
  • Translate scientific and operational complexity into clear, intuitive product experiences.
  • Partner with product, engineering, science, and operations teams to define user problems and tradeoffs.
  • Prototype AI-native interactions that help users understand and act on system recommendations.
  • Conduct lightweight research, workflow mapping, and usability testing with internal users.
  • Contribute scalable design patterns that improve consistency across the Lila App.
  • Use AI-enabled design tools to accelerate exploration, iteration, and communication.

Desired Qualifications

  • Experience designing for scientists, lab operations, biotech, or AI-enabled technical users.
  • Experience designing AI-native workflows, trust calibration, explainability, or review flows.
  • Familiarity with data visualization, workflow orchestration, LIMS, or scientific data management.
  • Experience contributing to or scaling a design system.
  • Comfort working in ambiguous, early-stage product areas.

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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