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Lila Sciences’ Research Operations team executes the automated laboratory workflows that power our scientific platform. We are seeking a motivated and detail-oriented Engineer I to join our high-throughput Research Operations team in an on-site, second-shift role with working hours of 2:00 PM to 10:00 PM.
In this role, you will operate integrated laboratory automation, prepare materials, monitor active workflows, troubleshoot issues, and help ensure reliable execution across the shift. You will apply your prior laboratory experience while collaborating with scientists and engineers across life sciences and physical sciences to support diverse research programs. This role is well suited to a candidate with a strong laboratory foundation who is ready to deepen their expertise in high-throughput automation, engineering principles, and science operations.
What You'll Be Building
Execute high-throughput automated and manual laboratory workflows using integrated workcells and liquid-handling platforms, such as Hamilton, Lynx, Echo, or similar systems.
Prepare, organize, and verify reagents, samples, labware, and consumables required for workflow execution.
Follow standard operating procedures, work instructions, and safety requirements to support accurate, reproducible, and timely results.
Monitor workflows in real time, identify equipment or process issues, perform first-line troubleshooting and recovery, and escalate complex issues when necessary.
Perform routine equipment checks, cleaning, maintenance, and readiness activities to support reliable operation of automated systems.
Review quality-control outputs and accurately record experimental, equipment, and process data to maintain data integrity and sample traceability.
Provide clear end-of-shift handoffs and partner with scientists, automation engineers, and operational teams to communicate workflow status, open issues, and follow-up actions.
Contribute to continuous improvement and cross-training efforts that strengthen workflow efficiency, robustness, scalability, and operational coverage.
We offer competitive base compensation with bonus potential and generous early-stage equity. Your final offer will reflect your background, expertise, and expected impact.
U.S. Benefits. Full-time U.S. employees receive a comprehensive benefits program including medical, dental, and vision coverage; employer-paid life and disability insurance; flexible time off with generous company wide holidays; paid parental leave; an educational assistance program; commuter benefits, including bike share memberships for office based employees; and a company subsidized lunch program.
International Benefits. Full-time employees outside the U.S. receive a comprehensive benefits program tailored to their region. USD salary ranges apply only to U.S.-based positions; international salaries are set to local market.
Expected Base Salary Range
$75,600 - $100,800 USD
About LILA
Lila Sciences is building Scientific Superintelligence to solve humankind's greatest challenges. We believe science is the most inspiring frontier for AI. Rather than hard-coding expert knowledge into tools, LILA builds systems that can learn for themselves.
LILA combines advanced AI models with proprietary AI Science Factory instruments into an operating system for science that executes the entire scientific method autonomously, accelerating discovery at unprecedented speed, scale, and impact across medicine, materials, and energy. Learn more at www.lila.ai.
Guided by our core values of truth, trust, curiosity, grit, and velocity, we move with startup speed while tackling problems of historic importance. If this sounds like an environment you'd love to work in, even if you don't meet every qualification listed above, we encourage you to apply.
We’re All In
Lila Sciences is committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.
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Lila Sciences
Office in United States
Also hiring in San Francisco, United States
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