Senior Manager, Research Operations

Lila Sciences is seeking a Senior Manager, Research Operations to build and lead the ResOps organization. This role integrates high-throughput data production, automation, quality control, and continuous improvement to accelerate scientific AI systems. The leader will ensure delivery of high-quality, observable, and reproducible experimental data at scale, architecting production and quality infrastructure, and building a team to power autonomous scientific discovery across life science, chemistry, and materials science.

Must Have

• Build and lead Research Operations organization.
• Integrate high-throughput production, automation, QC, and continuous improvement.
• Ensure delivery of high-quality, observable, and reproducible experimental data at scale.
• Architect production and quality infrastructure.
• Build and deploy Production and Quality functions across life science, chemistry, and materials science.
• Drive Research Operations team to maximize AI learnings from the lab.
• Establish and own a career development framework for the team.
• Partner with Software/Automation for observability dashboards, run-booking, and data pipelines.
• Maintain audit-ready traceability, deviations, investigations, and CAPA procedures.
• Manage vendor Service Level Agreements (SLA).
• Manage multi-shift coverage, cross-training, and instrument scheduling.
• Work with domain scientists and automation engineers to validate scientific workflows.

Good to Have

• Experience with lab orchestration systems, automated workcells, and observability pipelines.
• Familiarity with molecular biology, protein science, chemistry, and materials science.
• Experience scaling operations from early-stage to production.
• Technical leadership via publications, patents, or engineering community engagement.

Perks & Benefits

• Bonus potential
• Generous early equity
• Commitment to equal employment opportunity
• Professional growth and career development framework

Your Impact

is seeking a deeply technical and rigorous leader to build and lead our Research Operations (ResOps) organization. This role integrates high-throughput production of lab data, automation-assisted laboratory execution, quality control systems, operator career development, and continuous improvement into a unified operating engine that accelerates path to scientific superintelligence (SSI).

Your leadership will directly increase the intelligence and reliability of scientific AI systems by ensuring the delivery of high-quality, observable, and reproducible experimental data at scale. You will architect the production and quality infrastructure that transforms cutting-edge R&D into standardized, automated, and continuously-improving scientific operations—and build the team that will power that future. The remit of the Production and Quality functions are as follows:

Production

• Validating scientific workflows directly on automated and semi-automated lab equipment
• Executing experiments with accuracy and consistency
• Monitoring scientific and operational quality metrics across runs
• Generating high-quality, fully observable datasets for AI model training
• Collaborating with domain scientists and AI researchers to realize closed-loop learning

Quality

• Ensuring process consistency and scientific integrity
• Maintaining standard operating procedures and quality control frameworks
• Performing internal audits and supporting external audits
• Maintaining end-to-end data integrity and traceability
• Building a Continuous Integration and Continuous Deployment (CI/CD) infrastructure for quality assurance

What You'll Be Building

• Design and lead the operational backbone for driving autonomous scientific discovery.
• Build and deploy the Production and Quality functions for application across life science, chemistry, and materials science
• Drive the Research Operations team to maximize AI learnings from the lab
• Establish and own a career development framework that nurtures the most energetic and brilliant minds in Research Operations, with career development paths spanning automation engineering, research science, technical and team leadership, and beyond.
• Partner with Software/Automation to establish observability dashboards, run-booking systems, and data pipelines
• Maintain audit-ready traceability, deviations, investigations, and CAPA procedures, where applicable
• Build a team culture centered on safety, quality, scientific excellence, and professional growth
• Manage vendor Service Level Agreement (SLA) including turnaround time, availability, and quality of research operations and coordinate with internal stakeholders (i.e., LabOps, procurement and science/product teams)
• Manage multi-shift coverage, cross-training, and shared instrument scheduling
• Work with domain scientists and automation engineers to validate scientific workflows before operationalization

What You’ll Need to Succeed

• 8+ years of experience across scientific R&D, high-throughput labs, manufacturing, or instrumentation-heavy environments
• Substantial QA/QC and QMS experience
• Demonstrated success leading multi-layered scientific and operational teams
• Expertise in workflow optimization and SOP/QMS development
• Exceptional communication, incident management, and cross-functional leadership skills

Bonus Points For

• Experience with lab orchestration systems, automated workcells, and observability pipelines
• Familiarity with molecular biology, protein science, chemistry, and materials science
• Experience scaling operations from early-stage to production
• Technical leadership via publications, patents, or engineering community engagement

About

is the world’s first scientific superintelligence platform and autonomous lab for life, chemistry, and materials science. We are pioneering a new age of boundless discovery by building the capabilities to apply AI to every aspect of the scientific method. We are introducing scientific superintelligence to solve humankind's greatest challenges, enabling scientists to bring forth solutions in human health, climate, and sustainability at a pace and scale never experienced before. Learn more about this mission at www.lila.ai

If this sounds like an environment you’d love to work in, even if you only have some of the experience listed below, we encourage you to apply.

Compensation

We expect the base salary for this role to fall between $148,000–$198,000 USD per year, along with bonus potential and generous early equity. The final offer will reflect your unique background, expertise, and impact.

We’re All In

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.

A Note to Agencies

does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to or its employees is strictly prohibited unless contacted directly by ’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of , and will not owe any referral or other fees with respect thereto.