Associate / Engineer I, ResOps, Synthesis
Lila Sciences
| Company | Lila Sciences |
| Category | Engineering |
| Location | Cambridge |
| Remote | On-site (inferred) |
| Employment | Not stated |
| Level | Not stated |
| Salary | Not stated by the employer |
| Posted | 20 May 2026 |
| Last verified | 2 Aug 2026 |
| Source | Employer career page (greenhouse) |
Description
Your Impact at LILA
We are seeking a motivated and detail-oriented Associate Engineer to join our high-throughput Research Operations team. In this role, you will focus on hands on materials synthesis of various powders and porous medias as well as characterization of materials using spectroscopy and microscopy techniques.
You will gain hands-on experience with state-of-the-art automation technologies while contributing directly to projects that drive our company’s growth.
This is an excellent opportunity for candidates excited to learn engineering principles, work with advanced laboratory automation, and develop a strong foundation in scientific operations in a dynamic, shift-based environment.
What You'll Be Building
Perform materials synthesis for materials including zeolites, MOFS, coolants, quantum dots, and lipid nanoparticles
Prepare reagents, solutions/electrolytes , samples, and consumables to ensure seamless continuation of experiments across shifts
Follow detailed standard operating procedures (SOPs) to ensure accuracy, reproducibility, and throughput
Monitor workflow performance, troubleshoot common issues, and escalate when necessary to ensure continuity between shifts
Record, organize, and maintain experimental data with high attention to detail
Identify opportunities to improve efficiency and streamline processes across shift operations
Flag unusual features or results for scientist review
Collaborate with scientists and engineers to support diverse projects across life sciences and physical sciences
What You'll Need to Succeed
Bachelor’s degree in Chemistry, Physics, Chemical/Materials Engineering, or a related field (or equivalent laboratory experience)
Attention to detail and strong organizational skills
1 year of experience with bench top and wet lab environments an industrial setting with high throughout performing: pipetting, chemical handling, solution and sample preperation, high temperature annealing
Hand on experience synthesizing zeolites, MOFs, and powder materials
Experience working and disposing of acids and bases, synthesis in fume hoods, and handling powders
Curiosity to learn new skills and techniques relevant to materials science
Bonus Points For
Additional familiarity with: coolants, quantum dots, nanoparticles, and thin films.
Experience working in high-throughput production environments with a focus on scalability, efficiency, and accuracy
Basic engineering skills for troubleshooting synthesis tools such as centrifuge, annealers, chemical handler robots, glove box
Familiarity with automated workflows and techniques to operate and generate custom scripts
Experience with characterization methods for analyzing morphology and chemical compositions
Compensation
We offer competitive base compensation with bonus potential and generous early-stage equity. Your final offer will reflect your background, expertise, and expected impact.
U.S. Benefits. Full-time U.S. employees receive a comprehensive benefits program including medical, dental, and vision coverage; employer-paid life and disability insurance; flexible time off with generous company wide holidays; paid parental leave; an educational assistance program; commuter benefits, including bike share memberships for office based employees; and a company subsidized lunch program.
International Benefits. Full-time employees outside the U.S. receive a comprehensive benefits program tailored to their region. USD salary ranges apply only to U.S.-based positions; international salaries are set to local market. Expected Base Salary Range $68,000 — $100,800 USD About LILA
Lila Sciences is building Scientific Superintelligence™ to solve humankind's greatest challenges. We believe science is the most inspiring frontier for AI. Rather than hard-coding expert knowledge into tools, LILA builds systems that can learn for themselves.
LILA combines a
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