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Co-Op, Targeted Non-Viral Delivery

Lila Sciences

Cambridge, MACo-opPosted 1 day agoStill listed today

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At a glance

Compensation
No compensation found
Location
Cambridge, MA
Role Type
Co-op
Work Authorization
Not specified

Olive lists jobs from US employers, including remote roles you can work from the United States.

Job overview

Lila Sciences seeks a co-op to help build an automated non-viral delivery platform focused on producing and characterizing targeted lipid nanoparticles. The role combines bench science with automated lab systems, including developing conjugation and purification methods and applying them on an automated workcell. The co-op will collaborate with chemists, biologists, automation engineers, and data scientists, and must be available for the full January co-op term onsite at Alewife.

Skills & qualifications

RequiredNice to have

Skills

Wet-Lab TechniquesSOP ComplianceData AnalysisExperimental DesignWritten CommunicationVerbal CommunicationLipid Nanoparticle FormulationMicrofluidicsDrug Delivery SystemsAutomated SystemsHigh-Throughput ScreeningProtein CharacterizationBioanalytical TechniquesFluorescence SpectroscopyElectrophoresis

Qualifications

Pursuing BSc or MScChemical Engineering or RelatedFull January Co-Op Term

Full job description

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.

How this job compares

Set against the 4,695 open Researcher jobs on Olive Jobs, counted November 3, 2026.

Pay
  • This postingNot listed
  • Massachusetts median$79–106K/yr203 salary ranges
  • Massachusetts median$23–32/hr33 hourly ranges
Openings
Olive Jobs lists 283 open Researcher jobs in Massachusetts and 4,695 across the US. 2% of them nationwide are listed as remote or flexible.
Hiring the most in Massachusetts
Experience
Researcher postings that state a minimum ask for 4 years of experience at the median; the middle half ask for 2 to 5 years (1,517 postings).
Education
3,146 of the 4,695 open Researcher jobs (67%) ask for a bachelor's degree or higher.

Counted across the open, public US postings on Olive Jobs on November 3, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.

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