Procurement Analyst

Procurement Analyst I

03 Months Contract

Pleasanton, CA

Schedule:

7am-7pm (needing flexibility) 8 hr shift

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.

• 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.