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Lila Sciences

AI-powered scientific discovery for medicines

Automated Systems Engineer Co-op

Biomedical Engineering & Medical DevicesUpdated on Nov 11
InternshipCambridge, MA, USANo salary listedIn-person

About the Job

Requirements

  • Currently enrolled in a Bachelor's or Master's program in Biomedical Engineering or Bioengineering, with coursework or lab experience in the life sciences.
  • Available for a full-time co-op term, typically 4 to 6 months, on-site in Cambridge.
  • Have working knowledge of Python through coursework, projects, or prior internships.
  • Be curious, attentive to detail, and willing to ask questions and work through unfamiliar problems.
  • Communicate clearly and feel comfortable working with people across different technical backgrounds.

Responsibilities

  • Support cross-functional requirements gathering and project documentation using established team templates and execution guidelines.
  • Assist in converting manual scientific protocols into automation concept designs through process mapping, step timing, and identification of automation candidates.
  • Research new instruments and technologies, and help evaluate them for physical integration capability and fit with scientific workflows.
  • Contribute to concept design documentation, system architecture diagrams, and interface definitions for workcell- and instrument-level projects.
  • Maintain and update the federated factory layout model, producing layout drawings and 3D models that account for robotics envelopes, human ergonomics, and hazard zones.
  • Support feasibility assessments for proposed automation opportunities and help document lab automation best practices and lessons learned.
  • Integrate instruments and troubleshoot systems running live experiments as part of workcell deployment.
  • Work alongside engineers and scientists on real workcells being deployed.

Desired Qualifications

  • Have wet lab exposure through coursework, undergraduate research, or a prior role involving pipetting, sample handling, or assay work.
  • Be familiar with CAD and have some experience with rapid prototyping or 3D printing.
  • Have experience with automated liquid handlers such as Hamilton, Tecan, or Opentrons, or robotic arms.
  • Have coursework or project experience with control systems, PID loops, or microcontrollers.
  • Have prior robotics competition, research lab, or iGEM-style team experience.

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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