Senior Business Analyst​/Consultant – Digital Lab; R&D

Location

Location: Bay Area, CA or Tucson, AZ (On-site). This role will require traveling to the Pleasanton and/or Tucson offices.

Employment Type: Contract (W-2 Hourly or C2C).

Duration: 12 months. Possibility of renewal depending on personal performance and business needs.

Rate: $60 - $75/hr W-2 Hourly.

Concord isn’t your typical consulting firm; we are an execution company with a passion for making things happen. Our mission is to help clients enhance customer experiences, optimize operations, and revolutionize their product offerings through seamless integration, optimization, and activation of technology and data.

We are purpose‑built, merging the industry’s top specialty companies to amplify our Innovation Capabilities in analytics & AI, data management & engineering, UX and digital experience, and technical platform integration, automation & security engineering.

We are seeking an experienced Business Analyst / Consultant to support digital transformation initiatives within Research & Development (R&D), with a strong focus on laboratory systems and process optimization. This role will support the implementation of a new Laboratory Information Management System (LIMS) and play a key role in driving operational excellence, data governance, and regulatory compliance across global R&D operations.

In this role, you will act as a key consultant, partnering closely with scientific, technical, and business stakeholders to assess current‑state processes, identify gaps, and define clear functional and technical requirements to enable successful system implementation and adoption.

This role supports a strategic digital transformation program aimed at retiring legacy laboratory tools and implementing a modern, scalable LIMS for biospecimen and laboratory data management. The program focuses on improving process efficiency, data integrity, compliance, and integration across digital lab technologies.

Digital Tool Consulting & Integration:

• Support the migration from legacy laboratory systems to a unified LIMS platform, ensuring a smooth transition and full divestment of legacy tools by target timelines.
• Partner with cross‑functional teams to ensure seamless integration with existing digital lab technologies and enterprise systems.
• Advise on best practices for system configuration, data migration, archival, training, and validation.

Process Improvement & Operational Excellence:

• Lead process improvement initiatives using Lean / Lean Six Sigma methodologies to reduce inefficiencies and improve laboratory operations.
• Facilitate operational excellence and process‑mapping workshops across multiple functions.
• Conduct current‑state and future‑state assessments to identify functionality gaps and scalable solutions aligned with R&D objectives.

Business Analysis & Stakeholder Engagement:

• Engage with R&D scientists, engineers, and technical teams to gather, document, and validate business and system requirements.
• Translate scientific and operational needs into clear, unambiguous functional and technical requirements for vendor implementation.
• Evaluate implemented solutions to measure value realization and recommend continuous improvements.

Data Governance, Quality & Compliance:

• Advise on adherence to FAIR data principles, GDPR, and global data privacy and regulatory requirements.
• Ensure systems support audit‑ready documentation, traceability, and secure management of biospecimens and experimental data.
• Collaborate with IT and digital teams to enable a strong data backbone supporting automation, connectivity, and emerging technologies (e.g., sensors, IoT).

• 5+ years of experience in business analysis, consulting, or process improvement roles in the biopharmaceutical and diagnostics industry.
• Proven experience applying Lean, Lean Six Sigma, or similar methodologies in complex environments. Related certification is a must.
• Hands‑on experience implementing or supporting modern LIMS and biorepository platforms; familiarity with system integrations and complex digital ecosystems.
• Strong understanding of biospecimen life cycles, laboratory workflows, ethics, and…