Co-Op, Targeted Non-Viral Delivery

Lila Sciences

Cambridge (MA)

Presencial

USD 28.000 - 39.000

A tiempo parcial

Hace 4 días
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Descripción de la vacante

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.

Formación

  • 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

Responsabilidades

  • 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

Conocimientos

Data analysis
Written communication
Wet-lab experience

Educación

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

Herramientas

Microfluidic workcell
DLS
RiboGreen
TNS
ELN

Descripción del empleo

Lila is seeking a co-op to help build the automated non-viral delivery platform. The role focuses on improving an automated system for production and characterization of targeted lipid nanoparticles (tLNP).

Day-to-day work involves producing tLNPs to support ongoing experiments, developing new conjugation and purification methods for tLNPs, and applying those methods on the automated system.

The co-op works alongside chemists, biologists, automation engineers, and data scientists, with hands-on time across both bench science and automated lab systems.

What You'll Be Building

  • 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

What You'll Need to Succeed

  • 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

Bonus Points For

  • 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

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 advanced AI models with proprietary AI Science Factory™ instruments into an operating system for science that executes the entire scientific method autonomously, accelerating discovery at unprecedented speed, scale, and impact across medicine, materials, and energy. Learn more at www.lila.ai.

Guided by our core values of truth, trust, curiosity, grit, and velocity, we move with startup speed while tackling problems of historic importance.

Lila Sciences iscommitted to equal employment opportunityregardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.

Information you provide during your application process will be handled in accordance with our Candidate Privacy Policy .

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