Healthcare Data Analyst
At Komodo Health, our mission is to reduce the global burden of disease. Smarter use of data is essential to this mission. We combine the world’s most comprehensive view of patient encounters with innovative algorithms and decades of clinical expertise to power our Healthcare Map, the industry’s most precise view of the U.S. healthcare system. With the Healthcare Map as our foundation, we offer a suite of powerful software applications that deliver exceptional value to the industry.
Our people are the center of our success. We are a smart, supportive team with diverse perspectives and a shared passion for fixing what’s broken in healthcare. It’s fun, challenging and important. Join us!
You will be part of the Breakaway team (recently acquired by Komodo Health), where we create tools to discover, aggregate, and analyze complex streams of publicly available data. We offer data and products that help life sciences companies understand the financial and administrative barriers preventing patients from receiving care, and develop strategies to overcome those barriers.
The analyst team is responsible for ensuring our data is timely, accurate, and complete; and that we continually improve the tools and processes that keep it that way.
Who should apply for this role:
If you enjoy learning about the arcane quirks of U.S. healthcare administration and insurance coverage appeals to you.
Healthcare Data Analyst's Mission:
- You will use data to find clever, elegant solutions to challenging healthcare questions.
- You will develop detailed, highly differentiated, and valuable knowledge about the U.S. healthcare delivery system, in particular the role of health insurance companies as facilitators and gatekeepers of care.
- You will do a healthy amount of reading, researching and auditing/spot-checking data (organization-critical work) because it’s the best way to learn about the industry.
- As your background knowledge and experience grows, you will be responsible for designing improvements to our tools and processes to make your workflow faster, more accurate, and more efficient.
- A typical day in your third month may include spot checking PDF documents against data that has been scraped from those documents to ensure that the scraping process executed properly (auditing).
- A typical day in your fifteenth month may include searching the web for any sources of information you can find to estimate the number of people insured by the Government Employee Health Association (GEHA), searching for information about how they are distributed across the U.S., and building a model to output ZIP code level estimates of GEHA insured population based on the (likely imperfect) source data you were trying to identify. Also, likely an hour or two of the boring work.
Competencies:
- We need a quantitative minded analytical thinker who enjoys using data and technology to solve problems. The ideal candidate can talk to a customer in the morning, think through how we could make their life easier over lunch, and start building a solution in the afternoon.
- In the past we have had the most success finding exceptional generalists. We do not have a laundry list of prerequisites, but some things that would catch our eye are:
- Concentration in a quantitative field (econ, philosophy, math, cs, most sciences, etc.)
- A cool thesis or capstone project
- A professor who would go to the mat for you
- Experience working with large datasets
- Familiarity with US managed care / pharmaceutical industry
- You failed an exam because you spent the night before building a March Madness forecasting model in Excel after insufferably arguing with the commissioner over the league’s scoring model
- You will sweat the details and be a systems-oriented thinker. You’ll always be asking how your current task fits into the broader picture. You will generate ideas for improving your tools and processes.
- This is not a political or health policy focused role, but you’ll enjoy it more if learning about the arcane quirks of U.S. healthcare administration and insurance coverage appeals to you.