Serif Health is a YCombinator-backed startup dedicated to increasing transparency and lowering costs in the United States healthcare system. Our world class team aggregates, enhances, and distributes billions of healthcare pricing data points each month for a sizable list of B2B & Enterprise customers. Thanks to our tight focus and high level of expertise, we have strong paid customer traction, high NPS and inbound referral rates, and a top 1% balance sheet.
We are excited to add new team members motivated by our mission, passionate about making a difference in healthcare, and who have a track record of being the best at what they do.
What You’ll Do:
Perform statistical analysis of trillions of data points across our data sets to uncover actionable insights
Build predictive models, algorithms, and analytical frameworks based on your observations that can be productized for our customers
Design, build and sustain clustering, NLP, and outlier detection algorithms and/or machine learning models that can classify, link, and de-noise healthcare pricing data points across data sets and over time
Collaboratively define the data architecture and delivery processes for our company, and ensure our customer pipeline can scale and grow profitably relative to the size of our team.
Keep abreast of industry developments and best practices in data science and engineering
What we expect:
At least 5 years of academic and/or commercial experience in a healthcare data science and analytics role
Proficiency in Python and SQL for data manipulation and analysis.
Experience with statistical modeling, machine learning, and data visualization tools (e.g., TensorFlow, Pandas, Scikit-Learn, PyTorch, and Keras or similar).
Comfort working with large-scale datasets (2TB+, 300B+ rows added monthly) and distributed computing platforms like Databricks/Spark for large-scale data transformation and model training.
A track record of solving complex, unstructured problems with creativity and precision.
Strong communication skills and the ability to present data-driven narratives to stakeholders at all levels.
An ability to work independently, move quickly, and self-manage for high impact in a small team environment.
High attention to detail, strong written and verbal communication skills, and professionalism
Passion for problem solving and increasing affordability & transparency in the US healthcare market
What we'd love to see (Bonus):
Experience working with any of the following data: electronic medical records, medical claims and explanation of benefits, healthcare billing / coding / pricing
Prior experience working in a startup or small team environment
Familiarity with Amazon AWS data science & ML stack
Prior experience in roles requiring direct interaction with customers
Job Location:
Anywhere in the U.S. - Serif Health is a remote-first company with team members coast-to-coast. We hold on-sites at least quarterly in rotating locations across the U.S. for team members to get to know each other and collaborate in-person.
About Serif Health
Healthcare Price Transparency APIs and Data Products
