Note: The job is a remote job and is open to candidates in USA. Cadence is a clinical AI company automating the treatment of chronic disease through clinical intelligence, monitoring, and care coordination. The Staff Data Scientist will define KPIs, data models, and analytical infrastructure for its Advanced Primary Care Management business, translating patient, EHR, and clinical outcomes data into insights that guide product, operational, and clinical decisions. The role will also lead advanced analytics, reporting, data modeling, and AI adoption in partnership with cross-functional and external stakeholders.
Responsibilities
- Own the analytical strategy for Cadence's digital primary care program end-to-end by defining what outcomes and KPIs matter, diagnosing ambiguous operational and clinical problems, and serving as the primary thought partner to clinical and operational leadership; exploring patient vitals, EHR data, and clinician-generated data to surface insights that close care gaps, drive better outcomes, and inform program strategy
- Define and communicate outcome frameworks for AI-powered primary care, translating clinical and operational performance into clear, credible narratives for external partners including health systems and payers, and serving as the analytical voice in those conversations
- Design and build core data models in dbt from the ground up, establishing canonical metric definitions, data collection standards, and the structural foundation that the broader team relies on; maintain the modern data stack (Snowflake, Fivetran, dbt) to keep infrastructure accurate, well-documented, and built to scale
- Deliver advanced analytics across the full stack from pipeline construction and data engineering to predictive modeling, staffing and capacity forecasting, and revenue modeling in partnership with operations and executive leadership
- Build and maintain reports and dashboards that monitor growth, engagement, clinical outcomes, and Cadence's demonstrated value to patients and health system partners with metrics that are trustworthy and tied to decisions
- Embed AI meaningfully into the analytics function by identifying high-value use cases, building reusable workflows and automation, and leading adoption of LLM-assisted tools that reduce manual overhead and expand what the team can produce
Skills
- 9+ years of experience working with SQL or other data querying languages, with hands-on experience building and maintaining analytics, reporting, and dashboarding solutions
- Proficiency with modern data stack tools such as Snowflake, Fivetran, and dbt, or equivalent technologies
- Bachelor's degree in Mathematics, Statistics, Economics, Computer Science, or a related quantitative field, or equivalent practical experience
- Practical knowledge of statistics and data analysis techniques, with the ability to translate findings clearly for both technical and non-technical stakeholders
- Experience working with clinical or health data - including patient vitals, EHR records, or outcomes data - and familiarity with the data structures and sensitivity considerations that come with it
- Fluency with LLM APIs, prompt engineering, and AI-assisted development tools; demonstrated experience building or evaluating AI-powered systems in production and the ability to communicate how AI-powered care models work to clinical, operational, and external partner audiences
Benefits
- Equity as part of the total compensation package
- Fully remote
- Comprehensive health coverage: Medical, dental & vision
- Paid time off
- 401k plan + matching
- Paid parental leave
- Home office stipend
- Benefit offerings may vary depending on job profile, job level and worker type
Company Overview
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