Automation Systems Scientist – Lab Robotics & Data Integration

Merck

New Jersey

On-site

USD 120,000 - 160,000

Full time

5 days ago
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Job summary

Merck is seeking a Scientist to develop and deploy advanced automation solutions that accelerate pharmaceutical development. You will work with scientists, engineers, and digital technology specialists to connect instruments, robotics, and data, turning complex workflows into seamless, intelligent processes.

You will design and deploy automated systems, translating experimental needs into scalable workflows while collaborating across disciplines to deliver high-impact outcomes and reliable data.

Qualifications

  • Experience in a lab-based setting with lab automation and equipment integration.
  • Scripting/programming with best practices (version control, clean code).
  • Understanding of (bio)pharmaceutical process R&D and analytical development.

Responsibilities

  • Design automation systems that integrate robotics, instrumentation, and software.
  • Translate experiments into scalable automated workflows.
  • Collaborate across automation, data science, IT and digital engineering teams.
  • Lead projects from concept through deployment with cross-functional teams.
  • Improve existing automation platforms for performance and reliability.

Skills

Lab automation
Scripting/programming
Cross-functional teamwork
Scientific communication
Independent work

Education

MS in Engineering or related field
BS in Engineering with 2+ years experience

Tools

DeltaV
Ignition
WinCC OA
Sartorius Ambr250

Job description

Merck is seeking a Scientist to develop and deploy advanced automation solutions that accelerate pharmaceutical development. You will work with scientists, engineers, and digital technology specialists to connect instruments, robotics, and data, turning complex workflows into seamless, intelligent processes.

You will design and deploy automated systems, translating experimental needs into scalable workflows while collaborating across disciplines to deliver high-impact outcomes and reliable data.

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