Co-op, Analytical Chemistry
On-site
Fresh
Autonomous Science Platform
Compensation
Salary undisclosedDescription
Your Impact at LILA
Our day-to-day work - creating samples, running experiments, and generating high-quality data - will feed directly into closed-loop optimization campaigns that accelerate our chemistry pipeline in our science factory. You will work at the intersection where world class teams are coming together to achieve one dream - scientific superintelligence
What You'll Be Building
- Work hands-on with the synthesis team to drive high throughput analytical studies for small molecules
- Perform HTE spectroscopic and chromatographic analysis (IR, NMR, LC, MS) for reaction samples, and uncover mechanistic insights - both inline and offline characterization.
- Design and run experiments to accelerate catalytic discovery, collaborate with AI-driven workflows, enabling real-time learning cycle and push the limits of high-throughput chemical analysis.
- Perform instrument calibration, dilution and QC studies
- Digital log of experiment workflows, samples, reaction conditions, calibrations, and results, ensuring data integrity for AI-driven analysis. Use Python for data processing or instrument scripting.
- Follow strict EHS protocols for chemical handling
- Contribute to brief reports and present findings in team meetings.
What You'll Need to Succeed
- Currently pursuing or recently completed a B.S. or M.S. in Analytical Chemistry or a related discipline.
- Hands-on experience in high-throughput analysis of small molecules
- Preferred background in analytical method development for HT screenings of medicinal compounds
- Comfort working with inert conditions and wide range of chemicals, adhering to EHS protocols and following detailed SOPs.
- Basic proficiency in Python or another scripting language for data handling is a plus.
- Strong observational skills, attention to detail, and willingness to ask questions and learn.
- Effective written and verbal communication; ability to work in a fast-paced, multidisciplinary team
Bonus Points For
- Familiarity with automation platforms and high throughput experimentation
- Background in pharma and analysis of medicinal compounds
- Experience in troubleshooting and maintenance of analytical instruments
Stack
Python
- Posted
- Jun 15, 2026
- Last seen
- Jun 25, 2026
- First seen
- Jun 25, 2026
- Status
- active