Megan Lien

About Megan Lien

I am a healthcare data and analytics leader passionate about transforming complex clinical data into clear, actionable insights that improve patient care. As Manager of Clinical Data Analytics, I lead a talented team of data engineers and data scientists who support a wide range of health research initiatives, partnering closely with clinicians, investigators, and operational leaders.My approach to leadership is simple: people first, always. I prioritize creating an environment where my team feels supported, trusted, and empowered. I believe in cross‑training, transparency, and collaboration as the foundation for building resilient, high‑performing teams. When people feel safe to learn, experiment, and grow, great work naturally follows.Across my career, I’ve been driven by the mission to use data for good. Whether that means improving quality of care, advancing clinical research, or helping organizations make smarter, more compassionate decisions. I love the challenge of bringing clarity to complexity and turning raw information into meaningful narratives that guide positive change.Outside of work, you can usually find me exploring the Pacific Northwest. Hiking, rock climbing, and finding new perspectives in the mountains. I value balance, curiosity, and staying grounded, and I bring that same energy into how I lead and how I work.

Experience

1. Manager Clinical Data Analytics

   Providence

   Nov 2024 — Present · Portland, OR, US

   Leading a dynamic team of data scientists and data engineers at the Health Research Accelerator, dedicated to bridging the gap between innovation and clinical care. Overseeing Data Operations processes in the Clinical Innovation Institute, standardizing data-related processes through SOP management. Collaborating with partners to develop, test, and scale healthcare innovations grounded in real-world settings, informed by robust data. Managing data team proficient in pulling and analyzing data from various sources, including electronic medical records (EMR), cancer registries, medical oncology, and genomic data marts. Data team expertise extends to constructing patient cohorts, deriving relevant study variables, abstracting concepts from unstructured data, and generating and validating machine learning models. Conducting feasibility assessments and assisting in crafting proposals for new research projects. Supervising budgets and allocated data team resources to maintain project efficiency. Contributing to code review and chart review data validation. Serving on the HRA leadership team and reporting directly to the HRA Director.

Education

• Portland State University

  Master of Science (M.S.), Mathematics

• Oregon Health & Science University

  Graduate Certificate, Biomedical Informatics

• University of Portland

  Bachelor of Arts (B.A.), Mathematics

Skills

• Mathematical Modeling
• Microsoft Excel
• Sql
• Spanish
• Epiccare Ambulatory
• Ambulatory
• Ambulatory Care
• Statistical Data Analysis
• Intersystems Cache
• Chronicles
• Registries
• Applied Mathematics
• Tableau
• Clarity
• Telephone Triage
• Haiku
• Icd-10
• Mychart
• Spss
• Matlab
• Ehr
• Visual Basic
• Mathematics
• Oncology
• R
• Mathematical Programming
• Beacon
• Java
• Latex
• Mathematical Analysis
• Data Analysis
• Epic Systems
• Emr
• Crystal Reports
• Analytics