Co-Op, Targeted Non-Viral Delivery

Lila Sciences•Cambridge, MA
•Onsite

About The Position

Lila Sciences is seeking a co-op to help build its automated non-viral delivery platform. The role focuses on improving an automated system for producing and characterizing targeted lipid nanoparticles (tLNPs). Day-to-day work includes producing tLNPs for ongoing experiments, developing conjugation and purification methods, and applying those methods on the automated system. The co-op will work alongside chemists, biologists, automation engineers, and data scientists, gaining hands-on experience with both bench science and automated lab systems. The position is onsite at Alewife and requires availability for the full January co-op term. Candidates pursuing a BSc or MSc in a relevant field are encouraged to apply.

Requirements

  • 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, including 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.

Nice To Haves

  • Experience with lipid nanoparticle formulation, microfluidics, or other drug delivery systems.
  • Familiarity with automated systems or high-throughput screening platforms.
  • Familiarity with protein characterization methods.
  • Working knowledge of bioanalytical techniques such as fluorescence spectroscopy and electrophoresis.

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.
  • Produce tLNPs to support ongoing experiments.
  • Develop new conjugation and purification methods for tLNPs and apply those methods on the automated system.
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