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Lila Sciences

AI-powered scientific discovery for medicines

IT/OT Security Analyst Co-op

Security Operations & Incident ResponsePosted on Nov 9
InternshipCambridge, MA, USANo salary listed

About the Job

Requirements

  • The candidate must be pursuing a degree in cybersecurity, computer science, information technology, network engineering, or a related field.
  • The candidate must have working knowledge of TCP/IP networking, including VLANs, subnetting, routing and switching basics, and firewall concepts.
  • The candidate must be comfortable using the Windows and Linux command line and have basic scripting ability in Python or PowerShell for data reconciliation and reporting.
  • The candidate must be able to explain technical changes to non-technical audiences and security constraints to operational teams.
  • The candidate must be available to work onsite at Alewife on a hybrid schedule, including hands-on work with physical hardware.

Responsibilities

  • Own day-to-day OT asset discovery and reconciliation, closing the gap between device detection and documented ownership.
  • Prioritize vulnerabilities across IT/OT environments by real consequence, including safety, experiment integrity, IP exposure, and throughput, rather than raw CVSS scores.
  • Coordinate remediation with automation engineering within established maintenance windows.
  • Integrate OT and network telemetry into the SIEM, triage alerts, and provide OT context to the SOC team.
  • Track threat intelligence relevant to lab automation and biotech, and convert findings into detections and written briefings.
  • Build program artifacts, including an asset intake process, connectivity risk reviews, and segmentation documentation, that remain operational after the term ends.

Desired Qualifications

  • Exposure to vulnerability management concepts, including CVE/CVSS, scanning, and remediation workflow.
  • Familiarity with SIEM or log analysis on any platform, including Splunk, Sentinel, Elastic, or Chronicle; coursework, CTF, or homelab experience counts.
  • Cloud fundamentals, with AWS preferred.
  • Exposure to ICS/OT, SCADA, lab instrumentation, or robotics environments.

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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