Principal II Data Scientist

Principal II Data Scientist

What you will be doing:

This position will have responsibility for producing innovative solutions and thought leadership publications/patents driven by exploratory data analysis from complex and high-dimensional datasets. Apply knowledge of statistics, machine learning, programming, data modeling, simulation, and advanced mathematics to recognize patterns, identify opportunities, pose business questions, and make valuable discoveries leading to prototype development and product improvement that makes Premier a thought leader. Use a flexible, analytical approach to design, develop, and evaluate methodologies and advanced algorithms that lead to clinically and operationally relevant end user analytics. Deploy knowledge of healthcare datasets, including electronic health record, administrative billing, and post-adjudicated claims datasets. Work with subject matter experts, academic institutions, members and product engineers to translate prototypes into new products, services, and features.

Although not required, it is desired for the Principal, PINCAI Thought Leadership to have a clinical or public health background and understand how clinicians wish to deploy analytics in support of quality improvement and population health management applications. This level is recognized as expert in their field, knowledgeable of emerging trends and industry practices. Works without supervision with complete latitude for independent judgment. May mentor less experienced peers and display leadership as needed.

• Healthcare Analytics

• Advanced statistical and AI/ML Modeling

• Member and SME engagement

Key Responsibilities

Innovation and Modeling – 25%

• Work with internal and external SME’s to identify novel methodologies and AI/ML approaches to improve quality and efficiency across the healthcare system

• Work with developers and architects to translate prototypes into new products, services, and feature, and provide leadership and guidelines for large scale implementation

• Use a flexible, analytical approach to design, develop, and evaluate methodologies and advanced algorithms that lead to optimal value extraction from the data

• Produce innovative solutions driven by exploratory data analysis from complex and highly dimensional datasets

Modeling Strategy and Design – 20%

• Serves as a subject matter expert within various business domains (Cost, Clinical, MDM, etc.)

• Participate in data exploration and conceptual design for strategic initiatives

• Apply knowledge of statistics, machine learning, programming, data modeling, simulation and advanced mathematics to recognize patterns, identify opportunities, pose business questions, and make valuable discoveries leading to prototype development and product improvement