PerkinElmer

Vice President

• Lead and build the LabPilot business unit, a division focused on laboratory software, connectivity, and data management solutions
• Operate as general manager with full P&L, portfolio, and people responsibility
• Define business unit strategy, product vision, platform architecture direction, commercial model, pricing strategy, and competitive positioning
• Drive AOP planning, including revenue projections, investment requirements, headcount plans, and capital needs
• Own the product roadmap, prioritising platform development, module releases, integration partnerships, and customer-driven enhancements
• Approve NPI gate decisions and ensure new products and major releases have rigorous business cases and commercial launch plans
• Evaluate build-versus-buy-versus-partner decisions and potential acquisition opportunities
• Build, lead, develop, and scale the LabPilot product team
• Establish a high-performing software-oriented product organisation and recruit product and commercial talent
• Build external market presence through customer advisory programmes, key account relationships, conferences, and thought leadership
• Own strategic partnerships and integration relationships with LIMS, ELN, and broader laboratory ecosystem partners
• Develop relationships with enterprise customer stakeholders in IT, operations, and lab management
• Align go-to-market strategy with PerkinElmer's broader segment priorities
• Partner with R&D software engineering leadership on architecture, development resourcing, and technical roadmap decisions
• Collaborate with product line teams to integrate LabPilot with hardware product lines and create cross-selling opportunities
• Represent LabPilot in portfolio reviews, investment committees, and executive discussions on digital strategy and software growth

Vice President, Lab Pilot

Data Scientist

• Trace asset records from raw customer intake through normalization, classification, and enrichment
• Reproduce the production pipeline on sample data and confirm matching results
• Document service judgment calls, evidence used, and fragile decisions
• Build and maintain a gold-standard reference set of correctly classified instruments
• Score match rate and classification accuracy by equipment class
• Re-score after every change to demonstrate improvement
• Cluster near-duplicate records and reconcile them with their alias sets
• Improve classifier input text by separating technical capability language from application and use-case language
• Analyze attribute coverage across the record base field by field
• Maintain code and queries in the team repository
• Write method notes alongside code for repeatable handoff
• Perform ad hoc data pulls and analysis for the team

Vice President, Lab Pilot

Data Science Intern, Asset Intelligence