Advisor, AADS Research at Eli Lilly and Company
Indianapolis, IN
About the Job
Eli Lilly and Company seeks an Advisor, AADS Research to identify, scope, and execute analytics efforts that meet business and scientific needs. Review and provide feedback on the analytics being done. Design, implement, and develop enterprise-level natural language processing (“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. Perform cutting edge research in an area of data science and natural language processing. #LI-DNI
Position requires a PhD in Statistics, Computer Science, Engineering, Mathematics or a related field and 3 years of academic or employment experience with natural language processing. Academic or employment experience must include a minimum of: 3 years of experience with data mining; 3 years of experience with implementing machine learning and deep learning algorithms at cloud computing platforms; 3 years of experience with developing and implementing language models; 3 years of hands-on experience with big data technologies; 3 years of experience working with Linux/Unix servers; and 3 years of experience with C++, Java, Python, R, and SQL. Telecommuting benefit available. #LI-DNI
Job location: Indianapolis, IN. Telecommuting benefit available. To apply, please visit https://jobsearch.lilly.com/ and enter job requisition number R-66992 when prompted. Alternatively, please send your resume, cover letter, and a copy of the ad to: Beth L. Berry, Lilly Corporate Center, Indianapolis, IN 46285.
Position requires a PhD in Statistics, Computer Science, Engineering, Mathematics or a related field and 3 years of academic or employment experience with natural language processing. Academic or employment experience must include a minimum of: 3 years of experience with data mining; 3 years of experience with implementing machine learning and deep learning algorithms at cloud computing platforms; 3 years of experience with developing and implementing language models; 3 years of hands-on experience with big data technologies; 3 years of experience working with Linux/Unix servers; and 3 years of experience with C++, Java, Python, R, and SQL. Telecommuting benefit available. #LI-DNI
Job location: Indianapolis, IN. Telecommuting benefit available. To apply, please visit https://jobsearch.lilly.com/ and enter job requisition number R-66992 when prompted. Alternatively, please send your resume, cover letter, and a copy of the ad to: Beth L. Berry, Lilly Corporate Center, Indianapolis, IN 46285.