AI-Driven Support Engineer for Lab Platform

Remote

San Francisco (CA)

Hybrid

USD 90,000 - 130,000

Full time

14 days+

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Benefits offered by this job

Remote-friendly
Travel opportunities
Onboarding & training
Growth opportunities

Job summary

Sapio Sciences seeks a Customer Support Engineer on the West Coast to triage, diagnose, and resolve platform issues for hosted enterprise software. You will own tickets end-to-end, implement workarounds, and coordinate with Platform/Delivery teams as needed.

Strong communication and documentation skills are essential. Ideal candidates have a CS/IT/Life Science background, 2+ years in customer-facing support, and 3+ years in Life Sciences or informatics.

Qualifications

  • Bachelor’s degree in Computer Science, Information Technology, Life Science, or related field.
  • 2+ years in a customer-facing technical support role on an enterprise software product.
  • 3+ years Life Sciences experience in or alongside a laboratory setting.
  • 3+ years configuring LIMS, ELN or comparable software.

Responsibilities

  • Triage and own tickets from intake to closure, determine severity and reproduction steps.
  • Diagnose issues using logs, app diagnostics and AI-assisted tooling.
  • Provide configuration changes, data investigations and workarounds to restore operations.
  • Communicate clearly with customers and translate technical findings for diverse audiences.
  • Contribute to knowledge base, runbooks and process improvements.

Skills

Structured troubleshooting
Logs & diagnostics
SQL
Python basics
Jira
Customer communication
Technical writing
Regulated environments
Ownership & multitasking

Education

Bachelor’s degree (CS/IT/Life Science)

Tools

Jira

Job description

Sapio Sciences seeks a Customer Support Engineer on the West Coast to triage, diagnose, and resolve platform issues for hosted enterprise software. You will own tickets end-to-end, implement workarounds, and coordinate with Platform/Delivery teams as needed.

Strong communication and documentation skills are essential. Ideal candidates have a CS/IT/Life Science background, 2+ years in customer-facing support, and 3+ years in Life Sciences or informatics.

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