Job Description

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 health benefits to support your well-being.
• Invest in Your Future: Receive employee equity, ensuring you share in the company’s success.
• Family Support: Access 14 weeks of fully paid parental leave, so you can focus on what matters most.
• Collaborate with a talented team of engineers, data scientists, and healthcare experts
• Opportunity to work with cutting-edge technologies in the healthcare space
• Growth opportunities as we scale our platform and expand our capabilities

At Particle Health, your contributions don’t just impact the company—they shape the future of healthcare. Join us, and let’s make a difference together!

Compensation Range : For this role, we’re targeting a salary range of $130,000–$160,000 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.

For more info about Particle and our team, check out the resources & links included.

Notice: Recruitment Scam Alert

We’ve been made aware of attempts by scammers impersonating Particle Health or our team members to post fake job listings, conduct fraudulent interviews, or issue fake offer letters. These scams may involve:

• Requests for personal or financial information
• Interviews conducted only via text or messaging apps
• Emails that don’t come from an @ particlehealth.com address
• Offers for jobs you didn’t apply for

Please note:

• We will never ask for money, gift cards, or personal financial details at any stage of our hiring process
• All legitimate communication will come from an official @ particlehealth.com email address
• Our hiring process always includes video interviews — never just text

If you’re unsure about the legitimacy of a communication, don’t hesitate to contact us at [email protected] . We’re here to help.

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