Lead or Principal Scientist, Research Automation

Zealand Pharma U.S.Cambridge, MA
Onsite

About The Position

This role defines and drives Zealand Pharma’s global research automation strategy across Discovery Research. The position combines scientific leadership with hands-on workflow engineering—connecting automation hardware, software, and data traceability. Working closely with scientific leaders and project teams in Cambridge and Copenhagen, the role will deliver fit-for-purpose automation for early discovery while anticipating future scalability and downstream needs.

Requirements

  • PhD or Master’s degree in Engineering, Automation, Robotics, Computer Science, Chemical Engineering, Bioengineering, Systems Engineering, Chemistry, Biology, or a related field (or equivalent industry experience with demonstrated expertise in research automation)
  • 4+ years of relevant post-degree experience for Lead Scientist roles; 6+ years for Principal Scientist roles
  • Hands-on experience working in a research laboratory environment supporting chemistry, biology, or integrated discovery workflows
  • Demonstrated experience delivering laboratory automation systems, including robotic platforms and integrated automation solutions
  • Experience integrating end-to-end workflows across instrumentation, automation hardware, and supporting software, with a focus on simplicity, usability, and fit-for-purpose design

Nice To Haves

  • experience with Laboratory Information Management System (LIMS) and/or LIMS-adjacent solutions supporting metadata capture, traceability, and auditability

Responsibilities

  • Define and drive a global research automation strategy aligned with the discovery portfolio, Molecular Platform Development objectives, and long-term business goals
  • Design, implement, and maintain automated laboratory workflows supporting early discovery research across chemistry- and biology-driven programs
  • Lead integration of laboratory automation technologies, including robotic systems and integrated automation platforms, high-throughput liquid handling, automated sample handling/storage/retrieval, and barcoding/sample tracking solutions
  • Partner closely with experimental scientists to translate scientific workflows into reliable, usable automated processes and ensure robust adoption in the lab
  • Lead evaluation, selection, and recommendation of automation solutions, equipment, and external services; define business needs, assess vendors, and support procurement through technical due diligence and implementation planning
  • Establish and evolve enabling software and data infrastructure for automated data ingestion and traceability, ensuring robust sample tracking, data provenance, and auditability across sites
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