Sr. Business Analyst Consultant

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profile Job Location:

Tucson, AZ - USA

profile Monthly Salary: Not Disclosed
Posted on: 3 hours ago
Vacancies: 1 Vacancy

Job Summary

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.

Job Description Position Overview:

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.

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.
  • 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
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. Job Description Pos...
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Key Skills

  • SQL
  • Agile
  • Business Analysis
  • Visio
  • Waterfall
  • Business Process Modeling
  • Requirements Gathering
  • User Acceptance Testing
  • Business requirements
  • SDLC
  • Systems Analysis
  • Data Analysis Skills