Lila Sciences
Shift Supervisor, Research Operations
Cambridge, MA USA · Full-time
Sponsorship not specified$119k-$182kDetected 15 days ago
RecruitingResearch
About the role
- Your Impact at LILA Lila's Research Operations team runs the automated lab workflows that power our science.
- You are the first point of accountability for run quality, the first source of operational guidance for engineers on shift, and a critical link between the bench and the automated systems behind our science.
- This role is ideal for someone who thrives on operational ownership, takes pride in process discipline, and knows how to keep a team and workflows running smoothly in a fast-paced, high-throughput environment.
Responsibilities
- Lila Sciences is building Scientific Superintelligence™ to solve humankind's greatest challenges.
- Rather than hard-coding expert knowledge into tools, LILA builds systems that can learn for themselves.
- Own the safe, reliable execution of automated lab workflows across your
- Serve as the technical lead for engineers on
- Manage accurate
- Partner with scientific, engineering, and automation teams to troubleshoot workflow challenges and improve operational performance, including ongoing relationships with scientific leads
- Support tech transfer by validating automated workflows against manual processes and partnering with cross-functional teams to resolve process gaps and improve robustness
- Strong foundational knowledge of the scientific basis for assay design, execution, and interpretation
Compensation
- We offer competitive base compensation with bonus potential and generous early-stage equity.
- USD salary ranges apply only to U.S.-based positions; international salaries are set to local market.
- Expected Base Salary Range
- $118,800 - $182,400 USD
Benefits
- Monitor run performance and system health in real time, independently resolving common issues, and escalating complex problems appropriately
Visa & Work Authorization
- al 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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