Lab Automation & Logistics Delivery Lead
Novartis
2 months ago
On-site
Cambridge, MA
Operations
Key Responsibilities:
- Lead end-to-end delivery of lab automation and workflow orchestration initiatives to drive scalable, 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 stakeholders.
- Drive workflow automation by identifying inefficiencies and translating business processes into scalable, reusable automation solutions (RPA, orchestration, AI).
- Own stakeholder engagement as the primary interface; build relationships, align priorities, and communicate progress, risks, and outcomes.
- Guarantee compliance and standards by ensuring solutions meet architectural, security, and regulatory requirements and align with enterprise platforms and data integrity needs.
Essential Requirements:
- Master’s or PhD in a scientific/technology/computational science/data science area.
- 10+ years of relevant experience across the Pharma continuum in a multidisciplinary environment.
- Proven ability to deliver complex initiatives end-to-end on time and within budget across lab, data, or digital domains.
- Strong project management (prioritization, planning, execution, communication, risk management) managing dependencies across teams/systems.
- Experience leading cross-functional matrix teams and coordinating diverse stakeholders.
- Excellent stakeholder management and communication.
- Solid lab operations and scientific systems domain knowledge; hands-on knowledge of workflow automation, RPA, and AI-enabled solutions.
- Strong systems thinking and automation mindset.
Desirable Requirements:
- Experience with modern delivery practices (agile, experimentation, product-centric delivery).
- Agentic AI experience.
- Ability to translate ambiguous operational challenges into structured initiatives.
- Drive innovation, continuous improvement, and high-performance delivery.
- Curious, self-motivated, collaborative, delivery-oriented mindset.
- Lead end-to-end delivery of lab automation and workflow orchestration initiatives to drive scalable, 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 stakeholders.
- Drive workflow automation by identifying inefficiencies and translating business processes into scalable, reusable automation solutions (RPA, orchestration, AI).
- Own stakeholder engagement as the primary interface; build relationships, align priorities, and communicate progress, risks, and outcomes.
- Guarantee compliance and standards by ensuring solutions meet architectural, security, and regulatory requirements and align with enterprise platforms and data integrity needs.
Essential Requirements:
- Master’s or PhD in a scientific/technology/computational science/data science area.
- 10+ years of relevant experience across the Pharma continuum in a multidisciplinary environment.
- Proven ability to deliver complex initiatives end-to-end on time and within budget across lab, data, or digital domains.
- Strong project management (prioritization, planning, execution, communication, risk management) managing dependencies across teams/systems.
- Experience leading cross-functional matrix teams and coordinating diverse stakeholders.
- Excellent stakeholder management and communication.
- Solid lab operations and scientific systems domain knowledge; hands-on knowledge of workflow automation, RPA, and AI-enabled solutions.
- Strong systems thinking and automation mindset.
Desirable Requirements:
- Experience with modern delivery practices (agile, experimentation, product-centric delivery).
- Agentic AI experience.
- Ability to translate ambiguous operational challenges into structured initiatives.
- Drive innovation, continuous improvement, and high-performance delivery.
- Curious, self-motivated, collaborative, delivery-oriented mindset.