Data Scientist
3 weeks ago
The Data Scientist will provide insights on the design and execution of health outcomes research studies, including retrospective database analysis, and meta-analysis. The Data Scientist will work closely with the Director of Analytics & Informatics to develop and implement advanced analytics techniques, medical informatics and predictive modelling methodologies to support UPMCE's business needs.
- Understand key business drivers and support development of an analytical framework that delivers actionable insights for UPMCE and our portfolio companies.
- Work collaboratively with product teams to ensure a shared understanding of business objectives and define what new insights are needed to support these objectives.
- Become a trusted analytics partner for the business by identifying areas that will enhance the organization's analytical toolkits to deliver data-driven insights for leadership, influence decision making, drive revenue and growth, while bridging knowledge gaps.
- Participate in discussions with clinical faculty, subject matter experts, business leaders to discuss current issues in medical practice and develop research hypotheses.
- Hands-on data extraction and database analysis using the electronic medical record and other relevant data sources.
- Serve as an expert consultant regarding advanced data mining and predictive modeling methods, as well as application of scientific principles of knowledge discovery.
- Contribute to development and review of study protocols, Analysis plans, and other documents related to the execution of clinical, health economics and outcomes research studies and models.
- Develop strong problem-solving skills in the creation and interpretation of quantitative analyses and predictive models and assist the Director in the development of Analysis plans.
- Demonstrate ability to independently design rigorous clinical, financial and quality analyses grounded in data science.
- Contribute to the write-ups, including relevant portions of manuscripts, abstracts, posters, slide presentations. Author and present studies at scientific conferences and other appropriate venues on the behalf of the study team, as needed.
Requirements:
- Ph.D. in health economics, data science, statistics, computer science or related field.
- Background in Healthcare Economics
- 5+ years of experience in developing, implementing and overseeing models related to health services/ outcomes research and medical information programs
- Prior experience with payors or providers
- Proficiency in Health Economics and Outcomes Research (HEOR), particularly in digital studies or clinical trials
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