Lila Sciences

3 months ago

Vice President, Engineering

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Lead a multi-disciplinary engineering organization to build and scale a unified platform for autonomous experimentation across hardware, automation, and software. Own the strategy, architecture, and execution for lab automation, AI integration, and scalable AI Science Factories, partnering with Robotics, Software, Operations, and Science teams while mentoring engineers and balancing rapid iteration with scalable platform development.

Location: Cambridge

Workplace: Onsite

Employment Type: Full time

Job Function: Executive & General Management

Seniority: Sr. Director level

Key Responsibilities

•Set the engineering roadmap for ASP Engineering, including objectives, risks, and platform priorities via collaboration with the Robotics, Software, Science, and Product teams.
•Define and drive a unified platform architecture across hardware, automation, and systems engineering, reducing one-off designs and enabling repeatable system deployment across sites.
•Establish system-level ownership of architecture, interfaces, and requirements to ensure consistent integration across all engineering domains.
•Implement efficient processes for lifecycle, design controls, safety and compliance, change management, and deployment of autonomous laboratories to support rapid scaling without compromising system consistency.
•Develop a repeatable deployment model for standing up global AI Science Factory sites with predictable performance and reliability

Pay and Benefits

Salary: USD 310,000 - 3,800,000 annually

Equity and Bonus:Equity

Key Requirements

•15+ years building lab automation systems
•10+ years leading managers and multi-disciplinary teams at scale
•Proven track record scaling automated labs or manufacturing-like lab operations, including instrument and robot integration, scheduling and orchestration, reliability engineering, and capacity planning
•Demonstrated experience integrating AI/ML into engineering, operations, and/or research environments
•Experience building and standardizing complex engineering systems from early-stage, project-based environments into scalable, repeatable platforms

Experience:15+ yearsLab automationRoboticsAIEngineering leadershipScaling platforms

Skills:LeadershipMentorshipStrategic thinkingCommunication

Languages:English

Tech Stack:RoboticsAIMLSCADAAutomationHardwareSoftwareLIMSOrchestrationPLM

Company Brief

Lila Sciences

Develops AI-driven platforms to accelerate drug discovery and biological research by integrating machine learning with chemical and biological data to predict molecular properties, streamline candidate selection, and enable faster therapeutic development.

Industry: Biotech

Company Size: Small (11 to 50 employees)

Growth: Early Stage Startup

Funding: Seed

Website LinkedIn

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Lila Sciences

3 months ago

Vice President, Engineering

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Location: Cambridge

Workplace: Onsite

Employment Type: Full time

Job Function: Executive & General Management

Seniority: Sr. Director level

Key Responsibilities

•Set the engineering roadmap for ASP Engineering, including objectives, risks, and platform priorities via collaboration with the Robotics, Software, Science, and Product teams.
•Define and drive a unified platform architecture across hardware, automation, and systems engineering, reducing one-off designs and enabling repeatable system deployment across sites.
•Establish system-level ownership of architecture, interfaces, and requirements to ensure consistent integration across all engineering domains.
•Implement efficient processes for lifecycle, design controls, safety and compliance, change management, and deployment of autonomous laboratories to support rapid scaling without compromising system consistency.
•Develop a repeatable deployment model for standing up global AI Science Factory sites with predictable performance and reliability

Pay and Benefits

Salary: USD 310,000 - 3,800,000 annually

Equity and Bonus:Equity

Key Requirements

•15+ years building lab automation systems
•10+ years leading managers and multi-disciplinary teams at scale
•Proven track record scaling automated labs or manufacturing-like lab operations, including instrument and robot integration, scheduling and orchestration, reliability engineering, and capacity planning
•Demonstrated experience integrating AI/ML into engineering, operations, and/or research environments
•Experience building and standardizing complex engineering systems from early-stage, project-based environments into scalable, repeatable platforms

Experience:15+ yearsLab automationRoboticsAIEngineering leadershipScaling platforms

Skills:LeadershipMentorshipStrategic thinkingCommunication

Languages:English

Tech Stack:RoboticsAIMLSCADAAutomationHardwareSoftwareLIMSOrchestrationPLM

Company Brief

Lila Sciences

Industry: Biotech

Company Size: Small (11 to 50 employees)

Growth: Early Stage Startup

Funding: Seed

Website LinkedIn