Software Team Lead – Life Science Instrumentation

Sophion Bioscience

Ballerup Kommune

On-site

DKK 1,000,000 - 1,700,000

Full time

4 days ago
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Benefits offered by this job

Real ownership
Short decisions
Visible impact
Collaborative R&D
Flexible work
AI initiatives

Job summary

Sophion Bioscience in the Copenhagen area seeks a Software Manager to lead eight software engineers building software for automated life science instruments. You will report to the VP of R&D and own the software roadmap with product management, including budget responsibility for the function.

Day-to-day you will collaborate with Product Management, System Engineering, Hardware, Bioscience, Quality and Technical Support to keep the pace, build trust, and shape how AI is used in development.

Qualifications

  • Software background in computer science or equivalent practical experience.
  • Solid software development experience—preferably with instruments or hardware-related product software.
  • Experience mentoring engineers and a strong ambition to grow into broader leadership.
  • Curiosity about AI and modern ways of working to improve how software is built and deployed.

Responsibilities

  • Lead software work from roadmap to release and set the tone for collaboration.
  • Own the software roadmap and release planning with Product Management.
  • Set technical direction and maintain quality standards.
  • Keep delivery predictable with clear scope and timelines.
  • Lead day-to-day: hiring, onboarding, mentoring, feedback and career development.
  • Shape how we use AI in software development and share results across the company.
  • Manage the software budget and resources.

Job description

Sophion Bioscience in the Copenhagen area seeks a Software Manager to lead eight software engineers building software for automated life science instruments. You will report to the VP of R&D and own the software roadmap with product management, including budget responsibility for the function.

Day-to-day you will collaborate with Product Management, System Engineering, Hardware, Bioscience, Quality and Technical Support to keep the pace, build trust, and shape how AI is used in development.

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