Particle Health is revolutionizing healthcare data analytics and interoperability. Our mission is to unlock the power of medical records in an intelligent platform that focuses health back on the patient.
Through our modern data platform, we enable healthcare innovators—ranging from value-based care providers and payers to digital health companies and health systems—to access standardized, real-time patient data. By bridging fragmented data silos, Particle empowers organizations to tackle critical use cases such as care coordination, risk stratification, patient identity management, and regulatory compliance with ease and precision.
Our solutions of Snapshot, Signal, Navigator, and Workbench address the complex challenges of healthcare data analytics and interoperability, helping our customers transform data into actionable insights, improve patient outcomes, and streamline workflows.
About the Role
As a company, a key to our success is in analyzing healthcare data and creating new insights to help our customers treat patients, so we are growing our data science function. We have access to some very compelling data sets, primarily EHR, Rx Fill Data, and Provider Data that are enabled by recent healthcare interoperability regulations. We are looking for a seasoned expert who will help us advance our mission and build data products and capabilities.
As a key member of the Particle Health Data Science team, you will be a key player in shaping and executing foundational components of our analytics strategy, helping to define key models for some of the most interesting and challenging problems in healthcare. As a recognized expert on experiment design and statistical significance within the company, you will play a crucial role in identifying the limits of inference within our data and work closely with product and engineering to identify new analytical products, helping to ensure that our product roadmap continues to evolve toward products that are not only desirable, but feasible and viable as well. You will also contribute to our AI & NLP roadmap, which will become increasingly important over time.
A “day in the life” of a Senior Data Scientist II at Particle will almost certainly involve a lot of curiosity – being willing to talk to stakeholders, investigate the complexities of patient-level data. You will think critically about how we can isolate key outcomes within our data and build models showcasing approaches toward identifying treatment adherence, gaps in care, risk scoring, and more. And you will work very closely with the data engineering function to ensure that these are carried through into production.
What You’ll Do:
What We Look For:
Preferred Qualifications:
Why Particle Health?
Compensation Range: For this role, we’re targeting a salary range of $205,000–$225,000 annually, depending on experience and qualifications. If your background aligns more closely with a higher or lower level than the scope outlined here, compensation may vary accordingly.
#LI-Hybrid
At Particle Health, we believe diversity is a strength that drives and fuels our mission to transform healthcare. We are proud to be an equal opportunity employer and are committed to creating an inclusive, supportive environment where everyone can thrive. We welcome and celebrate individuals of all backgrounds, perspectives, and experiences, regardless of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability. Our commitment to diversity reflects our core values—integrity, curiosity, boldness, ownership, and persistence—and our belief that our differences make us stronger as a team and a company.
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For more info about Particle and our team, check out the resources & links included.
https://www.particlehealth.com/
https://builtin.com/awards/new-york-city/2024/best-startup-places-to-work#particle-health
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