Co-Op, Targeted Non-Viral Delivery

Lila Sciences

Cambridge, MAOn-siteInternship
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Location
Cambridge, MA
Work style
On-site
Job type
Internship
Posted
Nov 2
1 day ago
Career path

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About the company

Lila Sciences

Internet · 2 to 10 employees

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 on LinkedIn

What you'll do

  • 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 need

  • 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
  • Experience with lipid nanoparticle formulation, microfluidics, or other drug delivery systems (preferred)
  • Familiarity with automated systems or high-throughput screening platforms (preferred)
  • Familiarity with protein characterization methods (preferred)
  • Education: a bachelor's degree or a postgraduate degree

Key skills

Hands-on wet-lab experienceData analysis

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See full description on company page, apply now

Read the full posting here
Your Impact at LILA 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. If this sounds like an environment you'd love to work in, even if you don't meet every qualification listed above, we encourage you to apply. We’re All In Lila Sciences is committed to equal employment opportunity regardless 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. A Note to Agencies Lila Sciences does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Lila Sciences or its employees is strictly prohibited unless contacted directly by Lila Science’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Lila Sciences, and Lila Sciences will not owe any referral or other fees with respect thereto.

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