- 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
- Biostatistics / Health Services / Health Outcomes Research background in the Pharma companies or Digital Health companies
- Experience with Agile principles and development methodology
- Broad knowledge of advanced analytics, research infrastructure, discovery platforms and the application of artificial intelligence/machine learning for health
Data Scientist - Pittsburgh, United States - Insight Global
Description
Must Haves:
Plusses:
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 the client's business needs.
Understand key business drivers and support development of an analytical framework that delivers actionable insights for us 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 us by identifying areas that will enhance the organizations 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.
Compensation:
$45/hr to $60/hr.
Exact compensation may vary based on several factors, including skills, experience, and education.
Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.