Senior Data Scientist

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🔥 3 minutes ago

🏄 California – Remote

🏄 California – Remote

💵 $160k - $180k / year

⏰ Full Time

🟠 Senior

📊 Data Scientist

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Arine

WebsiteLinkedInAll Job Openings

11 - 50 employees

⚕️ Healthcare Insurance

🤖 Artificial Intelligence

☁️ SaaS

Healthcare Insurance • Artificial Intelligence • SaaS

Arine is a healthcare technology company that specializes in improving health outcomes through medication optimization. By leveraging artificial intelligence, Arine helps health plans and providers improve care quality and reduce costs. The company offers a suite of solutions including LUMINATE, RESONATE, and ELEVATE, which focus on high-risk solutions, prescriber analytics, and quality improvement in medication therapy management. Arine's AI-powered platform identifies patients at risk of medication-related problems, offering tailored interventions to improve adherence and clinical outcomes. The company has a proven track record of reducing hospitalizations and healthcare costs while achieving high star ratings for quality measures.

📋 Description

• Design and execute causal analyses of real-world health data to quantify the impact of medications and interventions on patient outcomes and costs • Develop, validate, and deploy predictive and causal models and AI tools into Arine's medication management platform • Partner with clinicians and HEOR researchers to frame questions as well-defined causal estimands and translate findings into clinical and operational decisions • Create presentations and reports communicating methods, assumptions, and results to the Data Science team and cross-functional stakeholders • Participate in critical reviews within the Data Science team on everything from methods and study design to implementation strategy and code

🎯 Requirements

• Master's or PhD in Statistics, Biostatistics, Epidemiology, Health Economics, Computer Science, a quantitative/physical science, or a related field • Strong foundation in statistical inference and study design, and demonstrated expertise in causal modeling with observational data • Demonstrated, hands-on experience with causal machine learning methods • Meaningful experience (3+ years) working with real-world healthcare data (e.g., medical and pharmacy claims or EHR data) and analyzing patient outcomes • Experience handling the practical challenges of real-world data: missingness, confounding, selection bias, and measurement error • Proficiency with R, Python (scikit-learn, pandas, numpy), and SQL • Experience working cross-functionally to define analysis objectives and deliver analytical results • Demonstrated ability to work independently, exercise good judgment, prioritize multiple projects, and problem-solve under tight deadlines and resource constraints • Excellent written, interpersonal, and presentation skills, including the ability to convey complex technical concepts clearly to audiences with varying levels of technical understanding.

🏖️ Benefits

• Outstanding Team and Culture • Making a Proven Difference in Healthcare • Market Opportunity • Dramatic Growth