
Senior Data Scientist
Posted 1 day ago

Posted 1 day ago
This is a fully remote position, open to applicants in California.
• Design and implement causal analyses of real-world health data to assess the effects of medications and interventions on patient outcomes and associated costs.
• Develop, validate, and integrate predictive and causal models as well as AI tools into Arine's medication management platform.
• Collaborate with clinicians and HEOR researchers to articulate questions as clearly defined causal estimands and convert findings into clinical and operational actions.
• Prepare presentations and reports to communicate methodologies, assumptions, and results to the Data Science team and other cross-functional stakeholders.
• Engage in critical evaluations within the Data Science team regarding aspects from methodologies and study design to implementation strategies and coding.
• A Master's or PhD in Statistics, Biostatistics, Epidemiology, Health Economics, Computer Science, a quantitative or physical science, or a related discipline.
• A solid foundation in statistical inference and study design, with proven expertise in causal modeling using observational data.
• Practical, hands-on experience with causal machine learning techniques.
• Significant experience (3+ years) working with real-world healthcare data, such as medical and pharmacy claims or EHR data, and analyzing patient outcomes.
• Proficiency in managing practical challenges associated with real-world data, including missingness, confounding, selection bias, and measurement error.
• Expertise in R, Python (including scikit-learn, pandas, numpy), and SQL.
• Experience in collaborating across functions to establish analysis objectives and deliver analytical insights.
• Proven ability to work autonomously, exercise sound judgment, prioritize multiple projects, and solve problems under tight deadlines and resource limitations.
• Exceptional written, interpersonal, and presentation skills, with the capability to clearly communicate complex technical concepts to audiences with varying degrees of technical expertise.
• Outstanding Team and Culture
• Making a Proven Difference in Healthcare
• Market Opportunity
• Dramatic Growth
PAR Technology
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