Software Engineer - Lab Data Automation

Lawrence Harvey has been engaged by an industry leader in life sciences data automation on a position that will be crucial for the continued long-term growth of a company that has quickly become one of the most recognized names in the scientific data and digital lab transformation space.

They are looking for a Software Engineer focusing on Lab Data Automation. The successful candidate will join a highly innovative and mission-driven engineering team responsible for designing and scaling the cloud-based infrastructure that automates laboratory data workflows across global R&D organizations. This person will develop distributed systems and data pipelines that connect instruments, applications, and scientists - helping turn raw experimental data into actionable scientific insights.

This is a rare opportunity to join one of the most forward-thinking and rapidly expanding businesses in the life sciences technology industry, in a position that can take your career to the next level while contributing directly to breakthroughs in research and discovery.

The Ideal Candidate has:

• Bachelor’s degree in Computer Science, Engineering, or a related field.
• 5+ years of software engineering experience, ideally focused on distributed systems, data integration, or automation tools.
• Strong experience with Python or Node.js/TypeScript, and a solid understanding of testing, debugging, and software design best practices.
• Hands-on experience with cloud infrastructure (AWS, GCP, or Azure) and containerization technologies such as Docker or Kubernetes.
• Interest or background in scientific or lab data environments, working with R&D data systems, or supporting life sciences workflows.

If you have any questions or would like to learn more about this opportunity, please don’t hesitate to reach out.

If this role sounds like the right fit for you, Apply Now.