Procurement Analyst I

Title: Procurement Analyst
Location: Pleasanton, CA 94588
Duration: 3+ months

Hybrid: Tuesday & Friday anchor days
Job Summary:
Role Responsibilities

• We are looking for a Clinical Procurement Consultant to help with a specialized data-cleansing and harmonization project. The goal is to transform unstructured clinical site budget data into a structured format to support Fair Market Value (FMV) benchmarking and financial compliance.
• The ideal candidate is a self-starter who understands the complexities of clinical trial costs and can independently navigate internal systems to ensure data integrity and audit-readiness.

• Data Harmonization: Review and standardize unstructured data from clinical site budgets, ensuring consistency across diverse global sites and trial phases.
• FMV Analysis: Align budget line items with Fair Market Value (FMV) standards to ensure compliance with industry regulations and internal financial thresholds.
• System Integration: Map legacy and unstructured data into internal tracking tools and databases, resolving discrepancies in terminology and categorization.
• Process Documentation: Develop clear workflows and "Source of Truth" documentation to maintain data quality for future trial budgeting.
• Stakeholder Collaboration: Work closely with Clinical Operations and Clinical eSolutions teams to validate cost assumptions and procurement benchmarks.

• Clinical Background: Deep familiarity with clinical trial terminology, Site Payment schedules, and Clinical Trial Agreements (CTAs).
• Procurement & Finance: Experience in clinical sourcing, cost-benchmarking, or financial analysis within the diagnostics industry.
• Data Proficiency: Skilled in Excel (Pivot Tables, Data Validation) and comfortable working with internal proprietary software, Tableau.
• Compliance Mindset: Understanding of the regulatory landscape surrounding investigator payments and financial transparency.
• Professional Attributes
• Self-Directed: Able to operate with minimal supervision and define a path forward when faced with ambiguous or "messy" datasets.
• Detail-Oriented: A "quality-first" approach to data, ensuring every entry is defensible for potential audits.
• Adaptive: Quick to learn internal tools and adapt existing clinical knowledge to proprietary company workflows.
• 2+ years of experience in a similar role.