Job Specifications
About Particle
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
At Particle Health, data is at the core of everything we do. As a Data Scientist, you'll play a key role in helping us analyze healthcare data and generate insights that enable our customers to deliver better patient outcomes.
You'll work with diverse datasets -- including EHR, prescription, and provider data -- to build models, surface trends, and help turn complex healthcare data into actionable intelligence. This is a great opportunity for someone who's excited to apply analytical and technical skills to real-world healthcare problems and grow within a mission-driven team.
You'll collaborate closely with data engineers, product managers, and software engineers to design analytical products, improve data quality, and explore ways to make our data more valuable to both internal teams and customers.
Location & Work Schedule
This is a hybrid role based in New York City. The team works in-office two days per week (Tuesdays and Thursdays), so applicants should be within commuting distance and comfortable with in-person collaboration.
What You'll Do
Data Science & Analytics (Primary Focus)
Build and validate analytical and machine learning models to address key healthcare data challenges (e.g., treatment adherence, gaps in care, risk scoring).
Explore, clean, and analyze large-scale healthcare datasets to identify patterns and generate actionable insights.
Work with Product and Engineering to translate findings into scalable, production-ready solutions.
Contribute to projects involving AI and NLP, helping extract and summarize meaningful information from clinical text.
Ensure statistical rigor, accuracy, and reproducibility in all analyses.
Data Quality & Insights
Identify and address data quality gaps to improve completeness and reliability.
Partner with the Data Engineering team to enhance the usability and consistency of our datasets.
Develop dashboards and metrics that help internal teams and customers better understand our data.
Collaboration & Impact
Work cross-functionally with Product, Engineering, and Data teams to align on goals and deliver data-driven insights.
Communicate findings clearly to both technical and non-technical audiences.
Continuously learn, experiment, and contribute ideas to improve how we use data to drive outcomes.
What We're Looking For
3+ years in data science, analytics, or a related role
Proficiency in Python and SQL skills
Experience working with or strong interest in healthcare data (EHR, FHIR, HL7, claims)
Experience developing analytical models or applying statistical methods to solve business problems
Exposure to modern AI methods, such as generative models, large language models (LLMs), or applied AI systems, and understanding how to integrate them into analytical workflows
Experience with data visualization / BI tools (e.g., Looker, Tableau, or Dash)
Exposure to machine learning concepts and model evaluation
Curiosity, problem-solving mindset, strong communication, proactive learner
Nice to Have
Experience with distributed data frameworks (e.g., Spark)
Familiarity with healthcare standards such as FHIR, HL7v2, or CCDA
Experience in a SaaS or cloud-based data environment
Background in a quantitative field (statistics, computer science, etc.)
Why Particle Health
Purposeful Work: Contribute to projects that directly improve healthcare access, empower providers, and enhance patient outcomes.
Collaborative Culture: Thrive in a mission-driven, curiosity-fueled environment where ownership and bold ideas are celebrated.
Flexibility & Balance: Enjoy unlimited PTO and a hybrid work environment, giving you the opportunity to collaborate in person and enjoy the benefits of remote work. We also provide lunch on Tuesdays and Thursdays when our team is in the office!
Bonus Program: Get rewarded for great work--our twice-a-year bonus program reflects both your contributions and our overall success.
Comprehensive Benefits:
~95% employer-paid health benefits for you and your family.
Employer-funded 401(k) match to help you build a secure future.
Mental hea