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Role Overview:
- Focus on using advanced analytics and research methods to improve healthcare delivery and population health.
- Work with large, complex healthcare datasets to uncover actionable insights and evaluate innovative solutions.
- Collaborate in a multidisciplinary environment with data scientists, clinicians, and business stakeholders.
Accountabilities:
- Research, prototype, evaluate, and scale data-driven approaches to influence enterprise healthcare strategies.
- Apply descriptive, predictive, and prescriptive analytics to transform structured and unstructured data into insights.
- Translate complex findings into clear recommendations for technical and non-technical audiences.
Requirements:
- Bachelor's degree in a relevant discipline with 1–3 years of quantitative research experience.
- Proficiency in Python or R and strong analytical, problem-solving, and communication skills.
- Healthcare or managed care experience, claims data familiarity, and advanced methods like causal inference are preferred.
Benefits:
- Annual base salary range of $78,400–$107,800 plus bonus incentive.
- Medical, dental, vision, 401(k), paid time off, parental leave, disability coverage, and life insurance.
- Fully remote work across the United States with occasional travel.
Undisclosed
The company leverages advanced analytics and research to improve healthcare delivery, population health, and medical cost outcomes. It fosters a multidisciplinary, collaborative environment with data scientists, clinicians, and strategy teams, though specific company size and culture are not disclosed.