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Lila Sciences

AI-powered scientific discovery for medicines

Cell Based Sequencing Co-op

Translational Research & Bench BiologyConfirmed live in the last 24 hours
Internship · Winter 2027Cambridge, MA, USANo salary listed

About the Job

Requirements

  • Pursuing a bachelor's degree in molecular biology, biochemistry, biotechnology, bioengineering, or a related field.
  • Hands-on experience with mammalian cell culture and aseptic technique.
  • Experience with RNA extraction and PCR.
  • Attention to detail in sample handling and labeling.
  • Consistent record keeping and ability to follow detailed protocols.
  • Available full time on site in Cambridge, Massachusetts from January 11 to May 14.

Responsibilities

  • Maintain and passage mammalian cell lines for assay experiments.
  • Transfect mammalian cell lines using chemical or electroporation methods.
  • Extract RNA from cultured cells and assess sample quality.
  • Run PCR and prepare samples for sequencing.
  • Perform bead-based purifications and sample cleanup.
  • Record protocols and results in formats ready for computational analysis.
  • Present experimental findings to the team in regular reviews.

Desired Qualifications

  • Familiarity with next-generation sequencing library preparation.
  • Exposure to Python or R for sequencing data analysis.
  • Experience with magnetic bead purification workflows.
  • Interest in applying artificial intelligence tools in a laboratory setting.

About the Company

Lila Sciences

AI-powered scientific discovery for medicines

Lila.ai uses artificial intelligence to speed up scientific discovery in medicines and advanced materials. The system ingests large sets of scientific data, experimental results, and literature to identify patterns, generate hypotheses, and guide research programs. It differentiates itself by tackling deep scientific problems at scale and combining AI with domain expertise, rather than offering generic tools. The goal is to help humanity by delivering new medicines and materials that solve major biological and materials challenges through data-driven discovery.

Company size
501-1,000
Company stage
Series A
Total funding
$550M
Headquarters
Cambridge, MA
Founded
2024

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