Note: Experience in Healthcare or Pharma or Medical devices would be Priorities.
We are seeking a knowledgeable and experienced Consultant to support the design, optimization, and integration of internal digital tools that enhance the efficiency and effectiveness of Research & Development (R&D) teams.
This role sits at the intersection of two critical initiatives:
1. The Digital Lab: A comprehensive portfolio designed to Simplify, Connect, and Analyze scientific workflows across the entire R&D value chain.
2. The NEST Project: A strategic digital transformation mission to retire legacy tools and implement a modern, scalable Laboratory Information Management System (LIMS) for biospecimen management.
You will drive initiatives in data governance, compliance, and process improvement to enable innovation in global diagnostics R&D operations.
Key Responsibilities
1. Consulting on Digital Tool Development & Integration
Provide strategic advice on selecting, designing, and integrating LIMS, biorepository platforms, and documentation frameworks to improve R&D workflow efficiency.
Optimize digital solutions for sample and specimen management, ensuring they support accurate data capture, traceability, and collaboration across global sites.
Support the NEST Project by consulting on the migration from legacy tools to a unified platform, ensuring legacy systems fully divest by the target deadline.
2. Process Improvement & Operational Excellence
Lead process improvement initiatives using Lean Six Sigma methodologies to reduce inefficiencies and waste in laboratory operations.
Conduct process mapping to identify challenges in documentation and inventory management, designing scalable solutions that align with R&D goals.
Bridge the gap between scientific needs and technical architecture by identifying "functionality gaps" in current workflows.
3. Business Analysis & Stakeholder Engagement
Engage directly with R&D scientists, engineers, and researchers to gather requirements and analyze technical data and feedback.
Develop strategic recommendations that align business objectives with digital tool capabilities.
Evaluate implemented tools to measure value and effectiveness, providing recommendations for iterative improvement.
4. Data Governance & Compliance
Consult on compliance with FAIR Data principles, GDPR, and global data privacy regulations.
Ensure systems produce audit-ready lab records efficiently and support secure, well-documented storage of biological samples and experimental results.
Collaborate with IT teams to build a robust data backbone that enables automation and connectivity (Sensors, IoT).
Required Skills & Qualifications
Process Engineering: Proven experience with Lean Six Sigma or similar methodologies to drive process optimization and operational excellence.
Technical Expertise: Experience implementing and configuring modern LIMS and biorepository platforms; Ability to integrate complex solutions like IoT and sensors into a single platform.
Biospecimen Knowledge: Strong understanding of biospecimen lifecycles, ethics, and global data privacy requirements.
Data Strategy: Ability to build data science models, generate insights from connected data, and advocate for data as a critical asset.
Change Management: Experience fostering mindset changes towards data-driven decision-making and championing user adoption of new digital tools
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