Maya Chen
Data Science Lead · UPPER
Maya Chen is Data Science Lead at UPPER, writing on Data Analysis, Recruiting Metrics, Time-to-Hire Analytics, Labor Market Data.
Articles by Maya Chen (17)
- Why Is It So Hard to Hire Clinical Research Staff? The CRA and CRC Shortage Explained
- The Life Sciences Skills Gap: Why Biostatisticians and Regulatory Affairs Specialists Are Hardest to Find
- Life Sciences Hiring in 2026: Five Shifts Every Talent Leader Should Know
- How AI Sourcing Works for Life Sciences Hiring — Credential-First, Not Keyword-First
- Automotive Hiring: 5 Shifts Every Talent Leader Should Know
- How Long Does It Take to Fill a Life Sciences Role — and Why Compliance Adds Weeks
- What Is Time-to-Fill — and Why Does It Matter?
- Why Is It So Hard to Hire Software-Defined-Vehicle Engineers?
- What Are Good Recruiting Funnel Conversion Rates in 2026?
- How AI Sourcing Finds Scarce Autonomous-Driving and EV Engineering Talent Globally
- AI Adoption in HR: What the Data Shows About Where Organizations Actually Are in 2026
- How Long Does It Take to Fill an Automotive Engineering Role — and How Do You Compress It?
- The Candidate Experience Data You're Not Collecting — and What It's Costing You
- The Automotive Skills Gap: Reskilling Combustion-Engine Talent for the EV Era
- Reading the Labor Market in 2024: What the Data Means for Your Talent Strategy
- AI's Real Productivity Impact on Recruiting: Separating the Data from the Hype
- Time-to-Hire Is Getting Longer. Here's What the Data Actually Says — and What's Driving It