Data Mining Scientist - Eli Lilly (Indianapolis, IN)

Job Description

For more than 130 years, Lilly has been dedicated to meeting the health care needs of people in the United States and around the world. We address these needs primarily by developing innovative medicines­investing a higher percentage of our sales in research and development than any other major pharmaceutical company. If you are interested in being considered for employment with a “Best in Class” Pharmaceutical company, please review the following opportunity:

Data Mining Scientist - Fixed Duration Employee

You will develop and enhance clinical data mining capabilities at Eli Lilly and Company. Key capabilities include in-depth understanding of data mining methodologies and techniques, familiarity with software and vendors, and relationships with internal and external experts. As a member of the Global Statistical Sciences (GSS) Data Mining Expert Group (DMEG), you must, in addition to a strong technical background, have an appreciation for business priorities, an appreciation for establishing and improving business processes, high standards of ethical and scientific conduct, and the ability to perform well both in a team environment as well as an individual contributor. This position is not permanent. It is for a fixed duration of up to 4 years.

KEY OBJECTIVES/DELIVERABLES:

• Implement data mining for priority projects and communicate effectively with stakeholders.
• Provide expertise in methodologies and techniques used in data mining to support the Lilly portfolio.
• Evaluate external data sources for potential data mining to obtain broader assessments of Lilly and/or competitor compounds in the marketplace, or disease states of interest.
• Develop best practices guidelines where applicable.
• Benchmark data mining practices and activities against the external environment.
• Evaluate, implement and maintain data mining tools and software.
• Manage partnerships with external experts and vendors.
• Develop guidelines for project-specific support and responsibility.
• Manage processes related to data mining activities (i.e. patient privacy, integration and standardization of data, etc.).
• Track and evaluate projects and their impact.

• PhD in statistics, informatics, or related field.
• In-depth understanding of statistical theory and applications.
• Knowledge and experience with one or more of the following techniques: Decision/Regression Trees, Neural Networks, Clustering/Segmentation.
• Qualified candidates must be legally authorized to be employed in the United States. Eli Lilly and Company does not anticipate providing sponsorship for employment visa status (e.g., H-1B or TN status) for this employment position.

• Interpersonal and communications skills for effective customer consultation.
• Leadership skills.
• Self-management skills with a focus on results for timely, accurate, and rigorous completion of competing deliverables.

Lilly earns consistent and wide recognition for creating an exceptional work environment:

• Business Week magazine 50 Best Places To Launch A Career™
• FORTUNE America’s Most Admired Companies™
• FORTUNE 50 Best Companies for Minorities™
• Working Mother 100 Best Companies for Working Mothers™
• Industry Week magazine 100 Best-Managed Companies™
• Business Ethics magazine 100 Best Corporate Citizens™
• Science magazine Best Companies for Scientists™

This job ad has expired. Click here for active job ads.