Senior Lab Automation Engineer – Platform Architect

100 Eli Lilly and Company

New York (NY)

On-site

USD 160,000 - 230,000

Full time

41 hours ago
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Benefits offered by this job

401(k)
Pension
Vacation benefits
Health benefits
Flexible benefits
Life insurance
Time off and leave

Job summary

Lilly is hiring a Dir/Sr. Dir - Lab Automation Engineer in New York. The role leads software/control architecture for automated lab systems in Discovery Oncology, partnering with scientists and engineers to advance platform scale, reliability, and data integration.

You will mentor engineers and drive end-to-end automation initiatives. The position requires a strong software engineering foundation, familiarity with lab data pipelines, and experience in vendor evaluation and system integration.

Qualifications

  • Bachelor's or advanced degree in Engineering, Robotics, Computer Science, Biology or related field.
  • 10+ years hands-on experience in laboratory automation, robotics integration, or related engineering discipline.
  • Experience mentoring other engineers.

Responsibilities

  • Set technical implementation and architecture for software/control layer across automated lab systems.
  • Own future workcell design and platform maturation.
  • Set technical standards and review designs; mentor engineers.
  • Partner with AVP on requirements and vendor evaluation; own installation, validation, and performance.
  • Lead root-cause investigations and drive reliability improvements.

Skills

Python
SQL
C#
Data pipelines
UI tools

Education

Bachelor's or advanced degree in Engineering/Robotics/CS/Biology

Tools

Cellario
Momentum
VWorks
Green Button Go

Job description

Lilly is hiring a Dir/Sr. Dir - Lab Automation Engineer in New York. The role leads software/control architecture for automated lab systems in Discovery Oncology, partnering with scientists and engineers to advance platform scale, reliability, and data integration.

You will mentor engineers and drive end-to-end automation initiatives. The position requires a strong software engineering foundation, familiarity with lab data pipelines, and experience in vendor evaluation and system integration.

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