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Research Scientist, Automated Synthesis

Lila Sciences

Salary not specified
Sep 12, 2025
Cambridge, MA, US
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Lila Sciences is the world’s first scientific superintelligence platform and autonomous lab for life, chemistry, and materials science, aiming to solve humankind's greatest challenges in human health, climate, and sustainability at an unprecedented pace and scale.

Requirements

  • ≥ 5 years of experience in synthesis and characterization of porous materials (e.g., MOFs, zeolites, oxides etc).
  • Strong track record with robotic synthesis platforms, high-throughput experimentation, or automated materials discovery.
  • Proficiency in Python for instrument scripting, workflow development, and data handling.
  • Deep knowledge of synthetic methodologies and solid-state or solution-phase chemistry.
  • Experience with commercial automation platforms (e.g., Chemspeed, Hamilton, Tecan) or custom-built robotic systems.
  • Familiarity with in situ or high-throughput characterization methods (e.g., PXRD, adsorption, TGA etc).
  • Prior work in self-driving labs or AI-guided discovery loops.

Responsibilities

  • Design & develop automated synthesis workflows for porous materials across multiple classes and synthetic routes (e.g., solvothermal, hydrothermal, ionothermal).
  • Partner with engineering team to build, operate, and optimize robotic platforms and parallel synthesis systems for high-throughput experimentation.
  • Partner with engineering team to interface hardware systems (reactors, sensors, analytics) with software pipelines for metadata capture, scheduling, and orchestration.
  • Partner with AI teams to enable closed-loop experimentation and iterative hypothesis generation.
  • Collaborate across materials science, engineering, and data science teams to drive platform development, documentation, and discovery.

Other

  • PhD. or M.S. in Chemistry, Chemical Engineering, Materials Science, or related field.
  • Comfort with cloud-based orchestration and scientific software stack integration.
  • Contributions to open-source or community-driven lab automation tools.
  • Lila Sciences is committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.
  • Lila Sciences does not accept unsolicited resumes from any source other than candidates.