The Invisible Career

U.S. Census Bureau employees in the 1980s, Public domain, via Wikimedia Commons

If you look at my LinkedIn profile or CV, you’ll see a career that dates back to 2006.

But that’s about algorithms. The truth is, my career goes back much further. While the conventional wisdom says to keep your profile "just long enough," I believe every year added is a layer of value gained.

The first half of my career was spent in survey methods research. After undergrad, I started at the U.S. Census Bureau as a Mathematical Statistician, supporting the National Health Interview Survey (NHIS).

Back then, the "data" wasn't just a digital file—it was reality on the ground.

One of our biggest challenges? Maps. Our field staff would head out to a sampled cluster of households, only to find a brand-new road or a whole neighborhood (filled with new households) that didn't exist in our data systems or on the map. We had to operate in real-time, creating subsampling instructions and updating systems in Suitland, MD, and Jeffersonville, IN.

That experience taught me two things that define how we work at Sage Healthcare Insights today:

1. Data is alive: Whether it’s a new road back then or an unstructured EHR note today, data is only as good as the system that captures and tracks its evolution.

2. Learning is a team sport: I learned more from a 30-year data processing manager about reducing geocoding error rates than I did in any textbook.

At Sage Healthcare Insights, we bridge that gap between "raw data" and "market-ready evidence." We’ve grown, and our tools have evolved into AI and LLMs, but our foundation remains: Improving patient outcomes is imperative, and learning is lifelong.

Here is some ways we can help you today:

• Evidence Generation: Turning "messy" Real-World Data (RWD) into market-ready evidence and studies that align with your drug's position in its lifecycle.

• Clinical Strategy: Optimizing protocols, Psychometric Tool Validation, and Mixed Methods research.

• Next-Gen Tech: Building ethical AI frameworks and domain-specific LLMs for medical affairs.

• Commercial Strategy: Navigating Go-To-Market (GTM) for MedTech and Value-Based Care modeling.

Whether you need a complex survival analysis or a privacy-first data architecture, we bring decades (yes, decades!) of experience to the table.