Sr. Business Analyst​/Consultant

Note:
Experience in Healthcare or Pharma or Medical devices would be valuable.

Note:
Technical Expertise:
Experience implementing and configuring modern LIMS and biorepository platforms;
Ability to integrate complex solutions like IoT and sensors into a single platform.

Business Analyst / Consultant

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.

• 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.

• 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.

• 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.

• 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).

• Process Engineering:
  Proven experience with Lean Six Sigma or similar methodologies to drive process optimization and operational excellence.
• Biospecimen Knowledge:
  Strong understanding of biospecimen life cycles, 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.