Automation Specialist: 3D Organoids & Lab Data Integration

Spectraforce

South San Francisco (CA)

On-site

USD 130,000 - 190,000

Full time

16 hours ago
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Job summary

Spectraforce is seeking an Automation Specialist for a Complex In Vitro Systems (CIVM) laboratory. The role focuses on automating cell culture and assay workflows for advanced 3D models such as organoids, spheroids, and iPSC-based systems.

You will bridge cell biology and software to drive data integration and process improvements on-site in California. The ideal candidate combines hands-on biology with automation expertise, programming in Python and/or C#, and experience with lab data systems

Qualifications

  • PhD with 0-3 years or Master's with 4-6 years in Biomedical/ Bioengineering or related field.
  • Hands-on experience with laboratory automation and automated cell culture in academic, pharma, biotech, or CRO settings.
  • Experience translating manual lab or cell culture processes into automated workflows.

Responsibilities

  • Develop and implement automated workflows for in vitro cell culture and cellular assays.
  • Translate manual procedures into automation-ready protocols.
  • Program, test, qualify, and optimize automated workflows using integrated liquid-handling systems.
  • Operate and support automation platforms and peripherals (liquid handlers, incubators, centrifuges, analyzers, imagers, plate-handling).
  • Maintain SOPs, troubleshooting guides, and knowledge-transfer materials.

Skills

Laboratory automation
Python
C#
Cell culture
Data integration
Troubleshooting
Communication

Education

PhD with 0-3 years
Master's with 4-6 years

Tools

Hamilton
Biomek
Opentrons
Tecan
LIMS

Job description

Spectraforce is seeking an Automation Specialist for a Complex In Vitro Systems (CIVM) laboratory. The role focuses on automating cell culture and assay workflows for advanced 3D models such as organoids, spheroids, and iPSC-based systems.

You will bridge cell biology and software to drive data integration and process improvements on-site in California. The ideal candidate combines hands-on biology with automation expertise, programming in Python and/or C#, and experience with lab data systems

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