Scientist I/ii, Process Chemistry

Lila Sciences Lila Sciences · AI Frontier · Alewife, Cambridge, MA · Autonomous Science Platform

Develop and apply modern process chemistry approaches to support Discovery Chemistry efforts, focusing on reaction/reactor engineering, process design, high-throughput experimentation, and digitalized chemistry workflows for small molecules. This role requires a hands-on scientist with strong foundations in synthetic and process chemistry, an engineering mindset, and experience building practical, scalable, and data-rich experimental workflows.

What you'd actually do

  1. Design, execute, and optimize process-relevant chemical transformations that support Discovery Chemistry programs and the generation of small molecules.
  2. Develop reaction and process workflows with emphasis on engineering rigor, scalability, reproducibility, throughput, and data quality.
  3. Apply high-throughput experimentation (HTE) to reaction screening, process optimization, condition scouting, and evaluation of process-relevant variables.
  4. Build and execute workflows that connect reaction setup, process screening, workup, analytical readout, and data capture into efficient experimental cycles.
  5. Contribute to the design of digitally enabled process chemistry workflows, including structured experimental data generation, electronic documentation, and integration of chemistry data into computational and AI-ready systems.

Skills

Required

  • PhD in Process Chemistry, Organic Chemistry, Chemical Engineering, Medicinal Chemistry, or a related discipline with relevant postdoctoral and/or industry experience.
  • Strong hands-on experience in process chemistry, reaction development, or scale-relevant synthetic chemistry.
  • Demonstrated experience applying engineering principles to chemical process design, optimization, and troubleshooting.
  • Experience with HTE for reaction or process screening, optimization, and data-rich experimentation.
  • Strong understanding of key process variables in discovery chemistry.
  • Experience with reaction workup, sample handling, purification, and analytical interpretation in fast-paced chemistry environments.
  • Hands-on familiarity with analytical tools commonly used to support process chemistry.
  • Experience generating well-structured experimental data to support reproducibility and digital workflows.
  • Ability to troubleshoot complex experimental problems and independently drive practical, technically sound solutions.
  • Strong collaborative skills and ability to work effectively across chemistry, analytics, automation, engineering, and computational teams.

Nice to have

  • Experience supporting Discovery Chemistry or small molecule R&D in biotech, pharma, or advanced platform environments.
  • Familiarity with modern process chemistry in early discovery settings, including rapid route improvement, robustness assessment, impurity understanding, and scalable reaction design.
  • Experience with miniaturized process screening, parallel reactors, or robotics-enabled chemistry platforms.
  • Experience contributing to the digitalization of process chemistry, including structured data capture, ELNs, workflow automation, or AI/ML-enabled experimental environments.
  • Ability to connect chemistry execution with broader platform goals such as throughput, automation compatibility, and data generation.
  • Strong scientific curiosity and enthusiasm for building next-generation process chemistry capabilities that go beyond traditional development paradigms.

What the JD emphasized

  • modern process chemistry approaches
  • reaction/reactor engineering
  • process design
  • high-throughput experimentation
  • digitalized chemistry workflows
  • AI/computational teams
  • engineering rigor
  • scalability
  • reproducibility
  • throughput
  • data quality
  • HTE
  • process optimization
  • condition scouting
  • evaluation of process-relevant variables
  • reaction setup
  • process screening
  • workup
  • analytical readout
  • data capture
  • digitally enabled process chemistry workflows
  • structured experimental data generation
  • electronic documentation
  • integration of chemistry data into computational and AI-ready systems
  • robotics-enabled experimentation
  • process design in early discovery settings
  • modern process chemistry
  • reaction engineering
  • HTE
  • digitalization
  • automation
  • enabling technologies
  • process chemistry
  • reaction development
  • scale-relevant synthetic chemistry
  • engineering principles to chemical process design
  • optimization
  • troubleshooting
  • HTE
  • reaction or process screening
  • optimization
  • data-rich experimentation
  • key process variables in discovery chemistry
  • reaction workup
  • sample handling
  • purification
  • analytical interpretation
  • well-structured experimental data
  • reproducibility
  • digital workflows
  • complex experimental problems
  • practical, technically sound solutions
  • collaborative skills
  • chemistry
  • analytics
  • automation
  • engineering
  • computational teams
  • Discovery Chemistry
  • biotech
  • pharma
  • advanced platform environments
  • modern process chemistry in early discovery settings
  • rapid route improvement
  • robustness assessment
  • impurity understanding
  • scalable reaction design
  • miniaturized process screening
  • parallel reactors
  • robotics-enabled chemistry platforms
  • digitalization of process chemistry
  • structured data capture
  • ELNs
  • workflow automation
  • AI/ML-enabled experimental environments
  • chemistry execution
  • throughput
  • automation compatibility
  • data generation
  • scientific curiosity
  • enthusiasm for building next-generation process chemistry capabilities
  • traditional development paradigms