RWE Data Scientist II

About the position

As a Real-World Data (RWD) Scientist, you will be part of a team powering data driven insights that lead to better, faster decisions and therapies for our patients. Acting as a lead data scientist in your project area, you will contribute RWD expertise to broader cross-functional initiatives. Candidates should be excited to drive innovation by implementing new business technology solutions that solve significant scientific or business problems through the use and understanding of complex data. Your role will be to conceive, design and execute analytical components of research studies using sources of Real-World Data and Genetics including, but not limited to large healthcare administrative databases, electronic medical records, registries and surveys. Your expertise will be critical as you investigate, identify, develop, and optimize new methods, algorithms, and technologies to derive Client, competitive insights from disparate data sources.

Responsibilities

• Conceive, design and implement new RWD business technology solutions that solve significant scientific or business problems through the integration, visualization, and analysis of large and complex data.
• Demonstrate high proficiency across a wide range of technologies related to the integration, visualization, and analysis of large and complex real-world data sets.
• Maintain broad expertise analyzing large real-world data including medical claims data, electronic medical records, survey data, etc.
• Demonstrate the ability to resolve key project hurdles and assumptions by effectively utilizing available information and technical expertise.
• Expand advanced methodology and adopt new technology capabilities such as machine learning, RWE dashboards and visualizations, automation, etc.
• Utilize knowledge of the pharmaceutical and healthcare business in the rapid advancement of agile, impactful, and cost-effective solutions.
• Drive productivity and efficiency gains throughout multiple business areas.
• Highly autonomous and productive in performing activities, requiring only minimal direction from or interaction with supervisor.
• Proactively seek out new information and technologies in the literature/public domain and incorporate into individual project(s) as well as the overall program.
• Understand and adhere to corporate standards regarding applicable Corporate and Divisional Policies, including code of conduct, safety, GxP compliance, and data security.

Requirements

• M.S. (Master of Science), or PhD with 2 years of experience in HEOR/Epidemiology or related area.
• Background in life sciences or work experience in the pharmaceutical industry preferred.
• Significant experience with SAS, SAS Macro SQL, or other programming for real-world data analytics (i.e. or Python).
• Experience and/or training in the application of advanced scientific and analytical methods.
• Proven implementation of creative technology solutions that advanced the business.
• Excellent written and oral English communication skills.