Colossal Biosciences

Colossal Biosciences

Laboratory Automation Engineer

Dallas, TX · Full-time

Sponsorship not specifiedDetected 36 days ago
JavaScriptPythonC++Process ImprovementFlow CytometryMolecular BiologyNGSCommunicationCollaboration

About the role

  • This position contributes to a fast-paced and dynamic program and reports to the Director of Lab Operations. *This position is a full time role, in-person at Colossal HQ in Dallas, TX.
  • Colossal is proud to be an equal employment opportunity workplace.
  • EEO is the Law Search Firm Representatives: Colossal does not accept unsolicited assistance from search firms.

Nice to have

  • Execute installation, testing, and validation activities to verify equipment performance, accuracy, reliability, and laboratory stability.
  • Coordinate issue triage with end users, vendors and external service providers while maintaining accurate equipment records, maintenance logs, and validation documentation.
  • Train end users on laboratory automation systems and contribute to process improvements, operational initiatives, and innovations that enhance laboratory efficiency.
  • Bachelor's degree in engineering, scientific discipline, or a related field.
  • 3+ years of relevant experience with automated laboratory instruments and integrated automation systems
  • Experience troubleshooting and writing protocols for Hamilton Venus and HighRes Bio Cellario schedulers.
  • Experience with laboratory instrumentation and automation systems.
  • Strong analytical skills, collaboration, documentation, and communication skills.

Compensation

  • Paid parental leave at 100% salary for up to 12 weeks

Benefits

  • Medical, dental, and vision coverage
  • Excellent paid time off and company holidays so you can rest and recharge
  • Flexible spending accounts (FSA)
  • Company matched 401k retirement plan
  • Paid parental leave at 100% salary for up to 12 weeks
  • Education reimbursement

This listing is sourced directly from Colossal Biosciences's careers page and normalized into a canonical job model.