Data Scientist

4 weeks ago

Pittsburgh, United States Insight Global Full time

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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