Data Scientist analyzing healthcare data to generate insights for better patient outcomes at Particle Health. Collaborating with data engineers and product managers in a hybrid role based in New York City.
Responsibilities
Build and validate analytical and machine learning models to address key healthcare data challenges.
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.
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.
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 data usage for driving outcomes.
Requirements
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
Experience with data visualization / BI tools (e.g., Looker, Tableau, or Dash)
Exposure to machine learning concepts and model evaluation
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