Posting Date

Denver, Colorado  |  Full-Time  |  On-Site/Hybrid 

Essential Duties and Responsibilities 
The analyst must be able to work successfully with cross-functional teams and have the maturity to interact directly with both peers and leaders across departments. The following duties and responsibilities generally reflect the expectations of this position, but are not intended to be all-inclusive. 

Statistical Inference & Study Design 

• Design and execute observational studies using quasi-experimental methods (e.g., difference-in-differences, propensity score matching, regression) to evaluate the impact of care interventions on clinical and cost outcomes 

• Build and interpret regression models (e.g., negative binomial, logistic, mixed-effects) to estimate treatment effects and identify drivers of utilization and cost 

• Apply Bayesian or frequentist inference frameworks to quantify uncertainty in program effectiveness estimates 

• Conduct power analyses and sample size calculations to support pilot study design and program evaluation planning 

• Develop analytic designs that translate operational research questions into well-specified studies, including defining appropriate comparison groups and controlling for confounders 

Data Science & Model Measurement 

• Build, validate, and monitor predictive models (e.g., hospital readmission risk, disease progression, cost forecasting) that inform care management priorities and resource allocation 

• Develop and maintain model performance measurement frameworks, including calibration, discrimination, and fairness metrics, to ensure models remain accurate and actionable over time 

• Conduct feature engineering using clinical, claims, and demographic data to improve model performance and interpretability 

• Evaluate and compare modeling approaches (e.g., penalized regression, gradient boosting, survival analysis) with attention to explainability and clinical relevance 

• Partner with operations and clinical teams to translate model outputs into practical decision support tools and intervention triggers 

AI Integration & Workflow Innovation 

• Incorporate large language models and AI-assisted tooling into analytic workflows to accelerate code development, literature review, documentation, and exploratory analysis 

• Evaluate emerging AI tools and methods for applicability to healthcare analytics use cases, including automated feature selection, synthetic data generation, and natural language processing of clinical notes 

• Develop and share best practices for responsible AI use within the analytics team, including prompt engineering, output validation, and appropriate use-case scoping 
  Communication & Stakeholder Engagement 

• Produce clear, technically sound documentation of analytic methods, assumptions, and limitations 

• Develop executive-level communications that translate complex statistical findings into actionable insights for clinical, financial, and operational stakeholders 

• Partner with stakeholders to define technical and business requirements for reporting and analytic requests 

• Leverage reporting and supporting data to monitor operations performance and identify insights around clinical, demographic, and medical cost trends and their contribution to outcomes 

Characteristics and Competencies 

• Build relationships with both internal and external partners and clients to ensure the success of IKC programs 

• Embrace working in a fast-paced environment with comfort navigating ambiguity 

• Focus on analytical process improvement and methodological rigor 

• A self-starter mentality and thoughtful execution abilities 

• Strong written and verbal communication skills, with the ability to convey technical concepts to non-technical audiences 

• Excellent organizational and prioritization skills 

• Intellectual curiosity with demonstrated interest and strengths in data analysis, statistical methods, and innovation 

Qualifications

• Master’s degree preferred in biostatistics, epidemiology, economics, statistics, data science, or a quantitative field 

• Bachelor’s degree required in a quantitative discipline (statistics, mathematics, economics, computer science, public health, or related field) 

• 2–4 years of applied experience with causal inference, program evaluation, or health services research methods is required

• 1+ year of experience with SQL and querying relational databases containing clinical or claims data is required

• Proficiency in Python or R for statistical modeling, not limited to data manipulation, is required

• Working knowledge of regression modeling for count, binary, and time-to-event outcomes 

• Familiarity with healthcare claims data structures (medical, pharmacy, eligibility) preferred 

Preferred / Nice to Have 

• Experience with version control (Git) and reproducible research practices 

• Experience with Tableau or similar analytics visualization tools 

• Demonstrated comfort using AI/LLM tools (e.g., ChatGPT, Claude, Copilot) to enhance analytic productivity 

• Familiarity with machine learning model evaluation and monitoring (e.g., AUROC, Brier scores, calibration curves) 

• Experience developing presentations in PowerPoint or similar tools for executive audiences 

• Excel proficiency including pivot tables and data manipulation 

What to Expect When You Join Our Village 

• A “community first, company second” culture based on Core Values that really matter 

• Clinical outcomes consistently ranked above the national average 

• Award-winning education and training across multiple career paths to help you reach your potential 

• Performance-based rewards based on stellar individual and team contributions 

• A comprehensive benefits package designed to enhance your health, your financial well-being, and your future 

• Dedication, above all, to caring for patients suffering from kidney failure and other chronic disease across the nation 

What We’ll Provide 

More than just pay, our DaVita Rewards package connects teammates to what matters most. Teammates are eligible to begin receiving benefits on the first day of the month following or coinciding with one month of continuous employment. Below are some of our benefit offerings. 

• Comprehensive benefits: Medical, dental, vision, 401(k) match, paid time off, PTO cash out 

• Support for you and your family: Family resources, EAP counseling sessions, access Headspace®, backup child and elder care, maternity/paternity leave and more 

• Professional development programs: DaVita offers a variety of programs to help strong performers grow within their career and also offers on-demand virtual leadership and development courses through DaVita’s online training platform Star Learning 

#LI-CM5

This position will be open for a minimum of three days.

Compensation for the role will depend on a number of factors, including a candidate’s qualifications, skills, competencies and experience. DaVita offers a competitive total rewards package, which includes a 401k match, healthcare coverage and a broad range of other benefits. Learn more at https://careers.davita.com/benefits