Application Consultant
Pubblicato il 03-10-2026 - Danaher in Lodi
Overview
In this role you enable the Digital Pathology commercial team by combining technical expertise with consultative selling. You will design IT ecosystem solutions, lead discovery and design workshops, and demonstrate AI-enabled pathology tools to healthcare organizations. You’ll drive adoption across pathology, informatics, and IT stakeholders, contributing to digital and computational pathology workflows that improve cancer diagnostics and patient care. Remote in Italy, with travel to meet customers and events, you join a mission-driven team shaping diagnostic excellence.
Retribuzione / Benefits vantaggi programs
health care program
paid time off
remote work arrangement
bonus/incentive pay
flexible benefits
Responsabilità Lead customer discovery sessions and workflow assessments
Design and present IT solution architectures for digital pathology ecosystems
Demonstrate AI-enabled diagnostic solutions and imaging workflows
Partner with Sales Specialists to advance opportunities and articulate value propositions
Provide pre- and post-sales subject matter expertise on hardware,
software, and clinical applications
Support customer adoption and acceptance of Leica solutions across stakeholders
Influence pathology, laboratory operations, informatics, and healthcare IT teams
Deliver technical presentations and solution demonstrations to diverse audiences
Requisiti fondamentali Bachelor in science or related field
Experience in healthcare IT environments and systems integration
Knowledge of digital pathology, medical imaging, diagnostics, healthcare IT, and interoperability with LIS (DICOM, HL7)
Salesforce or equivalent CRM experience
Experience in solution selling, technical consulting, applications support, or solution architecture
Willingness to travel up to 80% with valid driver's license
Ability to engage stakeholders across clinical, operational, and IT domains
Strong communication and presentation skills
Stakeholder management and advisory mindset
Collaborative