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Lab Automation & Logistics Delivery Lead

Job in Cambridge, Middlesex County, Massachusetts, 02140, USA
Listing for: Novartis
Full Time position
Listed on 2026-06-18
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software), Change Management, AI Evaluation
Salary/Wage Range or Industry Benchmark: 152600 - 283400 USD Yearly USD 152600.00 283400.00 YEAR
Job Description & How to Apply Below

Summary

As a Delivery Lead for Lab Automation & Logistics in Data & Digital (D&D), you will drive delivery and adoption of cutting‑edge automation, orchestration, and AI‑enabled solutions across laboratory operations and sample logistics in Biomedical Research. You will play a pivotal role in transforming scientific workflows, enabling scalable, efficient, data‑driven lab environments that accelerate research outcomes.

About the Role

Internal job title:
Associate Director.

Location:

San Diego, CA or Cambridge, MA (onsite). Relocation support not offered; only apply if location is accessible.

The role focuses on creating and improving automated, scalable end‑to‑end processes across labs, data, and logistics. Delivery is performed through predictable, high‑quality, time‑bound initiatives aligned with enterprise priorities and architectural standards. The Delivery Lead prioritizes, plans, and executes initiatives across the full lifecycle from ideation to release, scaling, and transition to operations while ensuring alignment with architectural, security, and compliance standards.

Scope

of Responsibility
  • Lab device and system integration
  • Workflow orchestration across systems and teams
  • Automation (RPA, event‑driven workflows)
  • AI solutions for operational processes
  • Sample ordering, production, and logistics workflows
  • Compliance‑enabled workflow design and execution
Key Responsibilities
  • Lead end‑to‑end delivery of lab automation and workflow orchestration initiatives, driving scalable and efficient lab and logistics processes across Biomedical Research.
  • Ensure delivery excellence by managing scope, timelines, and budget while leading cross‑functional matrix teams and aligning across stakeholders and D&D functions.
  • Drive workflow automation by identifying inefficiencies and translating business processes into scalable, reusable automation solutions (RPA, orchestration, AI).
  • Own stakeholder engagement by acting as the primary interface, building strong relationships, aligning priorities, and communicating progress, risks, and outcomes clearly.
  • Guarantee compliance and standards by ensuring solutions meet architectural, security, and regulatory requirements, and align with enterprise platforms and data integrity needs.
Essential Requirements
  • Masters or PhD degree in a scientific/technology/computational science or data science area.
  • 10+ years of relevant experience in a multidisciplinary environment across the Pharma continuum.
  • Proven ability to deliver complex initiatives end‑to‑end, consistently achieving high‑quality outcomes on time and within budget across lab, data, or digital domains.
  • Strong project management expertise, including prioritization, planning, execution, communication, and risk management, with the ability to manage dependencies across multiple teams and systems.
  • Demonstrated experience leading cross‑functional matrix teams, with the ability to effectively coordinate diverse stakeholders and drive aligned execution.
  • Excellent stakeholder management and communication skills, with the ability to act as a trusted delivery partner across business and technical audiences.
  • Solid domain and digital expertise, including understanding of lab operations and scientific systems, and hands‑on knowledge of workflow automation, RPA, and AI‑enabled solutions.
  • Strong systems thinking and automation mindset, with the ability to identify optimization opportunities and apply appropriate approaches (workflow orchestration, RPA, AI) to deliver scalable solutions.
Desirable Requirements
  • Experience applying modern delivery practices (e.g., agile, experimentation, product‑centric delivery models).
  • Agentic AI experience.
  • Ability to translate ambiguous operational challenges into structured, deliverable initiatives.
  • Proven ability to drive innovation, continuous improvement, and high‑performance delivery behaviors in complex environments.
  • Curious, self‑motivated, and continuous learner.
  • Collaborative and delivery‑oriented mindset.
Compensation & Benefits

Salary range: $152,600–$283,400 per year, commensurate with skills and experience. Compensation includes performance‑based cash incentive and potential annual equity awards. Eligible…

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