The Role
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 companies business needs.
Responsibilities
Understand key business drivers and support development of an analytical framework that delivers actionable insights for company 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 company 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.
Qualifications
PhD/MD with training or equivalent terminal degree in health economics, data science, statistics, computer science or related field.
Demonstrated expertise in relevant applied analytical methods in healthcare (payor/provider).
At least 5 years of experience in developing, implementing and overseeing models related to health services/ outcomes research and medical information programs or related work experience. A comparable combination of education and experience will be considered in lieu of the above- stated qualifications.
Demonstrate prior independent application of data science methods specifically to healthcare industry data at the expert level.
Ability to leverage cutting-edge data science experience from other industries (e.g. population segmentation, risk analysis, optimization analysis, real-time analytics) to advance healthcare analytics will be strongly considered in lieu of health care experience.