Jobs · Engineering · Massachusetts

Laboratory Automation Intern

Cell Signaling Technology (CST) · Danvers, MA · 2 days ago
On-siteEngineering$18/hrFull-time

Responsibilities

  • Develop and train agentic AI models for automated liquid handling feedback and scripting.
  • Integrate CST’s Laboratory Information Management System into our automated liquid handling robotics fleet.
  • Work with industry scientists and engineers to test and deploy solutions into real scientific workflows.
  • Cook up with cross-functional team members and execute projects in a timely manner.

Requirements

  • Must be currently enrolled in an undergraduate program in engineering, computer science, or a related field.
  • Basic programming proficiency in Python or equivalent programming language.
  • Should possess a passion for technology, science, and learning.
  • Exhibit strong communication and collaborative skills.
  • Familiarity with ETL Processes (Extract, Transform, & Load).
  • Basic command line skills.

Qualifications

  • Preferred qualifications include experience with LLM training and prompt engineering, familiarity with Process Diagramming, ability to model data structures, experience with SQL and C++, experience working in a wet lab environment, and familiarity with liquid handling devices and practices.

Benefits

  • Paid ($18.00 per hour) and is a full-time onsite role, Monday-Friday.

Schedule

  • Full-time, Monday-Friday.

Pay

  • $18.00 per hour.

Location

3 Trask Lane, Danvers MA 01923

Application Instructions

  • Applications will ONLY be accepted if they are submitted via the CST Career site.
  • Must include the following:
    • A Resume.
    • 1 Letter of Recommendation.
    • Copy of an unofficial transcript.
  • Note: Letters of Recommendation and Unofficial Transcripts may be emailed to internships@cellsignal.com.
  • Deadline: August 31st, 2026 - December 18th, 2026

Company Commitment

Cell Signaling Technology, Inc. is committed to providing equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, national origin, age, disability, genetic information, status as a veteran or as a member of the military or status in any group protected by applicable federal or state laws.

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