Back to Search
Overview
Mid-Level

Scientist I/II, Process Chemistry

Confirmed live in the last 24 hours

Lila Sciences

Lila Sciences

Compensation

$108,000 - $170,000/year

Cambridge, MA USA
On-site
Posted March 30, 2026

Job Description

Your Impact at Lila

The Scientist I/II, Process Chemistry will develop and apply modern process chemistry approaches to support Discovery Chemistry efforts across Lila’s platform, with a focus on reaction/reactor engineering, process design, high-throughput experimentation, and digitalized chemistry workflows for small molecules and related molecular matter. This role is intended for a hands-on scientist who combines strong foundations in synthetic and process chemistry with an engineering mindset and experience building practical, scalable, and data-rich experimental workflows.

Working closely with Discovery Chemistry, analytical chemistry, automation, platform engineering, and AI/computational teams, this scientist will design, execute, and optimize reaction and process workflows that improve the speed, robustness, and scalability of chemical transformations. The Scientist I/II will help bridge early discovery chemistry and modern process development by establishing experimentally efficient, digitally enabled, and automation-compatible approaches to reaction screening, process optimization, and chemistry execution.

This role is ideal for a scientist excited by the intersection of chemistry, engineering, high-throughput platforms, process intensification, and digital experimentation, and who wants to help shape next-generation process chemistry capabilities beyond traditional bench development.

What You'll Be Building

  • Design, execute, and optimize process-relevant chemical transformations that support Discovery Chemistry programs and the generation of small molecules.
  • Develop reaction and process workflows with emphasis on engineering rigor, scalability, reproducibility, throughput, and data quality.
  • Apply high-throughput experimentation (HTE) to reaction screening, process optimization, condition scouting, and evaluation of process-relevant variables.
  • Build and execute workflows that connect reaction setup, process screening, workup, analytical readout, and data capture into efficient experimental cycles.
  • 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.
  • Collaborate with automation and platform teams to develop and adapt reaction and process workflows for robotics-enabled experimentation.
  • Work closely with analytical chemistry teams to ensure rapid and informative analytical support for reaction monitoring, impurity assessment, and process decision-making.
  • Evaluate reaction performance through both chemistry and engineering lenses, including yield, selectivity, impurity formation, mass balance, robustness, throughput, and operational simplicity.
  • Establish best practices for AI-enhanced process design in early discovery settings, balancing speed and molecular access with process understanding and future scalability.
  • Stay current with advances in modern process chemistry, reaction engineering, HTE, digitalization, automation, and enabling technologies relevant to next-generation discovery chemistry.

What You’ll Need to Succeed

  • 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 gener
reactgoaiiosdataanalyticsdesign