Genentech

Genentech

R&D Scientific Infrastructure Strategy Lead

South San Francisco

Sponsorship not specified$157k-$291kDetected 4 hours ago
EMI/EMCRoboticsResearchLab ResearchLeadershipPublic Speaking

About the role

  • Drive "Lab-in-a-Loop"
  • Drive "Lab-in-a-Loop" Vision: Translate AI-driven, automated lab workflows and Phenotype Space Profiles into physical space, embedding Computational Sciences directly within laboratory neighborhoods.
  • Optimize Workflows & Shared Resources: Map and optimize scientific workflows of people, samples, waste, and materials while developing scalable, cost-efficient concepts for shared resources like cold storage and core equipment.

Responsibilities

  • Design and facilitate workshops to help users smoothly transition existing workflows into automated, shared laboratory environments.
  • Own and maintain the comprehensive Equipment List and Utilities Matrix, coordinating power, data, gases, waste, and environmental controls across the ecosystem.
  • Specify bench-level utility placements that support both bespoke lab setups and evolving autonomous workflows with autonomous robotics, ensuring specific zones can be renovated without disrupting ongoing operations.
  • Conduct rigorous design reviews, resolve architectural/engineering redlines, and define precise requirements for specialized environments (e.g., CryoEM, NMR, reagent repository, proof-of-concept rooms).
  • Plan physical mockups to validate design strategies, and support instrument relocation, installation verification, and user commissioning to ensure a fully operational facility on Day 1.
  • Lead Change Management: Design and facilitate workshops to help users smoothly transition existing workflows into automated, shared laboratory environments.
  • Manage Infrastructure & Utilities Matrix: Own and maintain the comprehensive Equipment List and Utilities Matrix, coordinating power, data, gases, waste, and environmental controls across the ecosystem.
  • Future-Proof Lab Design: Specify bench-level utility placements that support both bespoke lab setups and evolving autonomous workflows with autonomous robotics, ensuring specific zones can be renovated without disrupting ongoing operations.
  • Execute Mockups & Operational Readiness: Plan physical mockups to validate design strategies, and support instrument relocation, installation verification, and user commissioning to ensure a fully operational facility on Day 1.

Requirements

  • 8+ Years of Experience: PhD, MD, or equivalent curriculum and will have significant lab research experience.
  • Persons without a formal degree who have comparable depth and breadth of training and experience (gained at GNE or elsewhere), and who meet job-specific criteria, are eligible for consideration.

Compensation

  • The expected salary range for this position based on the primary location of California is $156,500 - $290,700.

Benefits

  • Acts as a critical bridge between research and execution by listening to scientific staff, translating their vision into granular technical requirements, and helping scientists adapt to new ways of working.

Company info

  • Demonstrates independent scientific creativity while building trusted relationships across the organization-fostering inclusion, helping teams prioritize/simplify workloads, and effectively presenting progress to senior management.
  • Onsite presence on our South San Francisco campus is expected for at least 3 days a week.
  • Relocation benefits are not available for this job posting.
  • The expected salary range for this position based on the primary location of California is $156,500 - $290,700.
  • Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law.
  • A discretionary annual bonus may be available based on individual and Company performance.
  • This position also qualifies for the benefits detailed at the link provided below.

Equal opportunity

  • equal opportunity employer.
  • If you have a disability and need an accommodation in relation to the online
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This listing is sourced directly from Genentech's careers page and normalized into a canonical job model.