Cadence is the clinical AI company automating the treatment of chronic disease. Its Clinical Intelligence takes on the routine, high-volume work of chronic care – monitoring patients, surfacing risks, and coordinating action – so clinicians can focus on the decisions that require them. Grounded in partnerships with more than 20 leading health systems, deep EMR integrations, dedicated medical group, and experience serving a population of more than 100,000 patients, the system learns from real-world care delivery, improving as it scales. Cadence has been recognized by TIME as one of the Top 100 HealthTech Companies and by LinkedIn as a Top Startup (#4, 2025).
The Role
We're hiring a Staff Data Scientist to define the KPIs, data models, and analytical infrastructure that support Cadence's product, operational, and clinical decisions for our Advanced Primary Care Management business unit. You will partner closely with product management, operations, care delivery, and customer success to build a scalable analytics roadmap and translate complex data - including patient vitals, EHR records, and clinical outcomes - into insights that drive strategy. This role sits at the center of how Cadence measures and improves care delivery at scale.
What You'll Do
- 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.
What You Need
- 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
Compensation
Our job titles may span more than one career level. The base salary for this role typically ranges between $190,000 - $230,000, depending on experience, skills, seniority, and business needs. In addition to base salary, this role is eligible for equity as part of the total compensation package. Actual compensation may vary by location.
Benefits & Perks
- Competitive pay & equity*
- 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
Cadence is committed to equal opportunity and fairness regardless of race, color, religion, sex, gender identity, sexual orientation, nation of origin, ancestry, age, physical or mental disability, country of citizenship, medical condition, marital or domestic partner status, family status, family care status, military or veteran status or any other basis protected by local, state or federal laws.
A notice to Cadence applicants: Our Talent team only directs candidates to apply through our official careers page at https://www.cadence.care/our-team. Cadence will never refer you to external websites, ask for payment or personal information, or conduct interviews via messaging apps. We receive all applications through our website and anyone suggesting otherwise is not with Cadence.
If you require a reasonable accommodation during the interview or hiring process, please notify your recruiter.
Skills Required
- 9+ years of experience working with SQL or other data querying languages
- 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
- Ability to communicate findings clearly to technical and non-technical stakeholders
- Experience working with clinical or health data, including patient vitals, EHR records, or outcomes data
- Familiarity with clinical and health data structures and sensitivity considerations
- Fluency with LLM APIs, prompt engineering, and AI-assisted development tools
- Experience building or evaluating AI-powered systems in production
- Ability to communicate AI-powered care models to clinical, operational, and external partner audiences
Cadence (cadence.care) Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Cadence (cadence.care) and has not been reviewed or approved by Cadence (cadence.care).
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Healthcare Strength — Health, dental, and vision coverage are complemented by mental health support and wellness programs. Offerings such as One Medical access, TalkSpace, and a 24/7 employee assistance program reinforce comprehensive care.
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Leave & Time Off Breadth — Time off includes unlimited vacation, paid holidays, and paid sick days. Parental leave is described as generous.
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Retirement Support — A 401(k) plan with company matching supports long-term savings. Additional tools like HSAs and FSAs bolster overall financial security.
Cadence (cadence.care) Insights
What We Do
Cadence is future-proofing primary care for an aging population. We’re building the first AI-native chronic disease platform – extending the doctor’s office beyond the visit and enabling health systems to deliver proactive care at home. Powered by our care intelligence and multidisciplinary clinical team, we monitor every patient, identify risks early, and act before problems escalate. Today, more than 90,000 seniors across 20 health systems rely on Cadence to stay healthier at home. Every day, more than 7,000 Americans age into Medicare, most with complex, ongoing health needs. Traditional healthcare was built for episodic visits, not for the continuous support that chronic care requires. The result? Overwhelmed health systems, rising costs, and patients who fall through the cracks. Cadence solves this problem. Our platform seamlessly integrates with a health system’s existing clinical workflow, using AI and machine learning to continuously monitor patient data, detect trends, and trigger timely interventions. We pair this technology with a nationally licensed clinical team that collaborates directly with each patient’s physician ensuring that every alert turns into meaningful, compassionate action. This hybrid model of technology + clinical care is what sets Cadence apart. We don’t just collect data; we turn insights into outcomes. Behind our platform is a world-class team of engineers, clinicians, and operators, all united by a shared mission — to make compassionate, continuous care accessible at scale. We tackle big, complex challenges with cutting-edge technology and deep empathy, knowing that every improvement we make has a direct impact on real people’s lives. Together, we’re building a system where technology amplifies humanity — and every patient gets the care they deserve, every day.
Why Work With Us
We’re a collaborative, learning-driven engineering culture tackling one of the toughest problems in tech - healthcare at scale. At Cadence, you’ll ship real-world systems that impact thousands of patients, gain exposure to cutting-edge AI and data science, and grow alongside teammates who value curiosity, humility, and excellence.
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