Senior Manager, Scientific System of Record

The role

You will lead a team of engineers building user-facing surfaces and core applications for a laboratory information management system. You will set technical direction and work with scientists, product leaders, and engineers to turn laboratory workflows into software.

What you will do

• Lead development of interfaces and applications for samples, experiments, protocols, workflows, results, and lab operations.
• Set technical direction across front-end, backend, APIs, and data architecture.
• Build and lead a high-performing engineering team through hiring, coaching, mentorship, and career development.
• Partner with product and scientific stakeholders to define priorities and translate ambiguity into engineering plans.
• Ensure LIMS surfaces integrate with automation, data, ML, and platform systems.
• Establish engineering practices for correctness, auditability, traceability, provenance, and reliability.
• Align engineering, science, product, automation, and operations teams to drive initiatives into production.

Required qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or equivalent experience.
• 8+ years of software engineering experience, including leading engineering teams and delivering production software.
• 3+ years of engineering management experience, with a track record of hiring, developing, and retaining engineers.
• Strong technical depth in full-stack application development and architecture.
• Experience designing and operating APIs, databases, and distributed production systems.
• Experience building products for complex, workflow-driven, or data-intensive environments.
• Strong product sense and ability to translate scientific and operational needs into intuitive software.
• Excellent communication skills across technical, scientific, and cross-functional audiences.

Nice to have

• Experience with TypeScript, React, and Python.
• Experience designing systems that support auditability, traceability, reproducibility, data provenance, or regulated workflows.
• Experience with AWS, Kubernetes, containerization, infrastructure as code, and CI/CD practices.
• Experience with orchestration and workflow systems such as Flyte, Temporal, Airflow, Prefect, or similar technologies.
• Experience building software platforms that bridge digital workflows and physical-world operations.

Benefits

• Medical, dental, and vision coverage
• Employer-paid life and disability insurance
• Flexible time off with generous company wide holidays
• Paid parental leave
• Educational assistance program
• Commuter benefits, including bike share memberships for office based employees
• Company subsidized lunch program

About the company

Lila Sciences is building Scientific Superintelligence™ to solve humankind's greatest challenges. The company combines advanced AI models with proprietary AI Science Factory™ instruments into an operating system for science.