Procurement Analyst I

Job Title: Procurement Analyst I
Location: Pleasanton, CA
Duration: 12 Months on W2

Description:
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.

Key Responsibilities
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.

Required Experience & Skills
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.
2-3 years of experience in a similar role.