Data Scientist - Pittsburgh, United States - Insight Global

Description

Duration: 6 month contract to hire (conversion to FTE based on performance)

Location: Pittsburgh, PA - mostly remote but will need to go in office 2x/month

Pay Range: $50-55/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.

Must Haves:

• PhD/MD in health economics, data science, statistics, computer science or related field.
• Previous healthcare experience with payors or providers
• Expert ability to extract and manipulate data utilizing SQL from large, complex datasets
• Expert in using SAS, R, or other statistical packages to conduct analysis/modeling
• Hands on experience with data visualization tools like Tableau or Power BI

Responsibilities:

• Understand key business drivers and support development of an analytical framework that delivers actionable insights for 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 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.