Co-op: Automated Targeted LNP Platform Engineer (Onsite)

Lila Sciences, Inc.; Cambridge (MA); On-site; USD 28,000 - 39,000; Part time

Job summary

Lila Sciences, Inc. is seeking a co-op to help build an automated non-viral delivery platform focused on producing targeted lipid nanoparticles (tLNP) for ongoing experiments.

You will work across bench science and automated lab systems, formulating and characterizing tLNPs on a microfluidic workcell, and applying new workflows to the system. The role requires pursuing a science degree, hands-on wet-lab experience, and strong data analysis and ELN documentation skills.

Qualifications

• Pursuing a BSc or MSc in chemical engineering, biomedical engineering, pharmaceutical sciences, biology, or a related field
• Hands-on wet-lab experience and comfort following detailed SOPs
• Data analysis skills, with the ability to interpret results and iterate on experimental design
• Clear written and verbal communication, including ELN documentation
• Available for the full January co-op term, onsite at Alewife

Responsibilities

• Formulate and characterize targeted LNPs on an automated microfluidic workcell
• Run high-throughput screens of ionizable lipids and targeting ligands
• Execute downstream characterization assays such as DLS, RiboGreen, and TNS
• Onboard new workflows and experiment types onto the workcell
• Test and document changes that increase screening throughput
• Record methods, results, and observations in the ELN for reuse across teams

Skills

Data analysis

Written communication

Wet-lab experience

Education

BSc or MSc in chemical engineering, biomedical engineering, pharmaceutical sciences, biology or related field

Tools

Microfluidic workcell

DLS

RiboGreen

TNS

ELN

Job description

Lila Sciences, Inc. is seeking a co-op to help build an automated non-viral delivery platform focused on producing targeted lipid nanoparticles (tLNP) for ongoing experiments.

You will work across bench science and automated lab systems, formulating and characterizing tLNPs on a microfluidic workcell, and applying new workflows to the system. The role requires pursuing a science degree, hands-on wet-lab experience, and strong data analysis and ELN documentation skills.