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Contract Causal Inference Jobs in Denver, CO (NOW HIRING)

Senior Marketing Analyst

Denver, CO · On-site

$80K - $90K/yr

... and causal inference methodologies. * Business Skills * Strong understanding of marketing ... This is not an employment contract. It does not guarantee a job or that the above listed duties are ...

Senior Marketing Analyst

Denver, CO · On-site

$80K - $90K/yr

... and causal inference methodologies. * Business Skills * Strong understanding of marketing ... This is not an employment contract. It does not guarantee a job or that the above listed duties are ...

... and causal inference methodologies. * Business Skills * Strong understanding of marketing ... This is not an employment contract. It does not guarantee a job or that the above listed duties are ...

Contract Causal Inference information

What is a contract causal inference specialist?

A Contract Causal Inference specialist is a professional who applies statistical and analytical methods to determine cause-and-effect relationships within data, typically on a contractual or project basis. These specialists are often brought in to analyze business, healthcare, or social science data to help organizations make evidence-based decisions. They use techniques such as randomized controlled trials, regression analysis, and propensity score matching to isolate causal impacts. Contract roles are usually temporary and focused on specific projects or questions. This position requires strong statistical knowledge, programming skills, and the ability to communicate findings to non-technical stakeholders.

What are the key skills and qualifications needed to thrive as a contract causal inference specialist?

To thrive as a Contract Causal Inference Specialist, you need a strong background in statistics, econometrics, or data science, typically with an advanced degree in a quantitative field. Proficiency with statistical software like R, Python, and specialized causal inference packages, as well as experience with data wrangling tools, is essential. Exceptional analytical thinking, clear communication, and attention to detail are valuable soft skills for interpreting results and collaborating with clients. These competencies are vital for delivering robust, actionable insights that drive evidence-based decision-making in a contractual setting.

What are some common challenges faced by professionals in contract causal inference roles, and how can they be addressed?

Professionals in contract causal inference roles often encounter challenges such as working with incomplete or messy datasets, ensuring the validity of assumptions in causal models, and effectively communicating complex findings to stakeholders. Addressing these issues typically involves using robust statistical techniques, performing thorough data cleaning, and engaging in transparent documentation of the modeling process. Additionally, collaborating closely with subject matter experts and stakeholders can help clarify project goals and improve the relevance and impact of your analyses.

What is the difference between Contract Causal Inference vs Data Analyst?

AspectContract Causal InferenceData Analyst
Required CredentialsStatistics, Data Science, or related certifications; often advanced degreesBachelor's or Master's in Data Science, Statistics, or related fields
Work EnvironmentResearch-focused, project-based, often in consulting or academiaBusiness environments, analyzing data to inform decisions
Employer & Industry UsageResearch institutions, consulting firms, tech companiesCorporations, marketing agencies, finance, healthcare
Search & Comparison IntentUnderstanding causal relationships, research projectsData analysis, reporting, business insights

Contract Causal Inference specialists focus on identifying cause-and-effect relationships through research and statistical methods, often in consulting or academic settings. Data Analysts interpret data to generate reports and insights for business decisions. While both roles require data skills, Contract Causal Inference emphasizes causal modeling and research, whereas Data Analysts focus on descriptive and diagnostic analysis.

What are the most commonly searched types of Causal Inference jobs in Denver, CO?

The most popular types of Causal Inference jobs in Denver, CO are:

What are popular job titles related to Contract Causal Inference jobs in Denver, CO?

For Contract Causal Inference jobs in Denver, CO, the most frequently searched job titles are:

What job categories do people searching Contract Causal Inference jobs in Denver, CO look for?

The top searched job categories for Contract Causal Inference jobs in Denver, CO are:

Infographic showing various Contract Causal Inference job openings in Denver, CO as of June 2026, with employment types broken down into 24% Full Time, 5% Part Time, 3% Temporary, and 68% Contract. Highlights an 85% Physical, 2% Hybrid, and 13% Remote job distribution.

Sr Analyst, Statistical Inference and Data Science (IKC)

DaVita, Inc.

Denver, CO • On-site

$88K - $111K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 7 days ago


DaVita rating

7.0

Company rating: 7.0 out of 10

Based on 1,179 frontline employees who took The Breakroom Quiz

414th of 889 rated healthcare providers


Job description

Posting Date
08/14/2026
2000 16th Street, Denver, Colorado, 80202, United States of America
Denver, Colorado | Full-Time | On-Site/Hybrid
About the Team
The Commercial Integrated Care Analytics team supports DaVita Integrated Kidney Care (DaVita IKC). DaVita IKC is the renal population health management division of DaVita serving approximately 70,000 end stage renal disease (ESRD) and late stage chronic kidney disease (CKD) patients across the U.S. A key component of DaVita's integrated care strategy is our healthcare analytics team, responsible for developing and communicating advanced data analytics to inform program performance and model of care design.
As a member of this team, you will be responsible for designing and executing rigorous statistical analyses and data science work that measures the causal impact of our care model on clinical and cost outcomes. This entails developing inferential frameworks, building predictive models, and communicating evidence-based findings that drive care program decisions and value-based contract performance.
This role will work with teammates across various teams, ranging from analyst to clinicians and operators to executive leaders. The environment is highly collaborative and team-oriented, with a differential focus on both professional and personal growth.
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

At DaVita, we strive to be a community first and a company second. We want all teammates to experience DaVita as "a place where I belong." Our goal is to embed belonging into everything we do in our Village, so that it becomes part of who we are. We are proud to be an equal opportunity workplace and comply with state and federal affirmative action requirements. Individuals are recruited, hired, assigned and promoted without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, protected veteran status, or any other protected characteristic.
This position will be open for a minimum of three days.
The Salary Range for the role is $62,353.20 - $95,000.00 per year.
For location-specific minimum wage details, see the following link: DaVita.jobs/WageRates
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
Colorado Residents: Please do not respond to any questions in this initial application that may seek age-identifying information such as age, date of birth, or dates of school attendance or graduation. You may also redact this information from any materials you submit during the application process. You will not be penalized for redacting or removing this information.

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About DaVita

Sourced by ZipRecruiter

DaVita is a healthcare company that provides compassionate, quality healthcare. The company’s mission is to be the Provider, Partner, and Employer of Choice. DaVita serves more than 200,000 dialysis patients in 10 countries outside the U.S. and has over 55,000 teammates in the U.S. Since 2011, DaVita teammates have donated $11 million to local nonprofits and have volunteered over 180,000 hours since 2006. DaVita has been on Fortune’s list of the world’s most admired companies for 15 years in a row.

Industry

Health care and social assistance

Company size

10,000+ Employees

Headquarters location

Denver, CO, US

Year founded

1994