Data Scientist - Enterprise

Key Skills

C Programming, C++, Cloud computing, Data science techniques, Java Programming, Machine learning techniques, MATLAB Programming, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow

Job Description

At Lilly, we unite caring with discovery to make life better for people around the world. We are a global healthcare leader headquartered in Indianapolis, Indiana. Our 35,000 employees around the world work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease, and give back to our communities through philanthropy and volunteerism. We give our best effort to our work, and we put people first. We’re looking for people who are determined to make life better for people around the world.

Our Advanced Analytics and Data Science organization is growing to support the entire Lilly enterprise, from Discovery to Development to Manufacturing and Commercialization of our medicines. To solve the complex problems of a global business and the ever-evolving data and analytics landscape, the organization generally requires advanced degrees in statistics, mathematics, econometrics, operations research and computer science. We are playing a leading role in transforming the way the company discovers and develops new treatments, identifies personalized treatment regimens, drives efficiency in our operations and optimizes our commercialization of new products. We are doing this with an emphasis in the areas of machine learning and artificial intelligence, natural language processing and other approaches to unstructured data, advanced mathematical and predictive modeling, visual analytics and more. Whether you are intrigued by the research and development of new medicines or optimizing our commercialization/business, or driving efficiency into our operations, we have a position for you. You will be encouraged to identify important business problems and to further your own research interests in these areas including presentations and publications at professional meetings. Come join us on our amazing journey to make life better!

Key responsibilities include:

• Perform cutting edge research in natural language processing (NLP) technologies. .
• Collaborate with analytics team members to design, implement and develop enterprise-level NLP capabilities, including data engineering, technology platforms, and algorithms.
• Evaluate and benchmark the performance of different NLP systems, and provide guidance on metrics and best practices.
• Apply NLP technologies to answer business questions, solve business challenges, and make real-world impact.
• Stay current with new technology trends in NLP.

Basic Qualifications

• Ph.D. in Computer Science, Statistics, Computer Engineering, Electrical Engineering, Information Science, Information Engineering or related field
• 5+ years of experience in NLP
• Deep understanding of NLP techniques and systems

Additional Skills/Preferences

• Advanced knowledge of machine learning methods in processing unstructured data
• Expertise in Python
• Proficiency in NLP and data mining open source tools
• Experience in deep learning frameworks
• Publications in leading journals or conferences
• Self-driven and high achiever
• Strong communication skills
• Experience in applying NLP in the biomedical domain