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Text Mining Informaticist
| Details |
Country: USA
Location: Indiana-Indianapolis Indianapolis, IN 46285
Total applied: 40 Job Category:IT/Software Development
Relevant Work Experience:5+ to 7 Years
Education Level:Master's Degree
Location:Indianapolis, IN 46285
Status:Full Time, Employee
Occupations:IT Project Management;Software/Web Development
Career Level:Experienced (Non-Manager)
Relevant Work Experience:5+ to 7 Years
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Text Mining Informaticist
Job Description
For more than 130 years, Eli Lilly and Company 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 medicines—investing 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:
Text Mining Informaticist
Eli Lilly and Company’s Global Medical and Regulatory Information Technology division is currently seeking to fill multiple Biomedical Informatics Scientist positions globally to enable its translational research and tailored therapeutic programs.
The advent of post-genomic technologies such as gene expression, proteomics, functional genomics, genetic association studies etc. and their application towards the goal of personalized medicine (right drug for the right patient at the right dose) requires development of new informatics methods for integration and analysis of preclinical and clinical data. The applications developed by the candidate will provide decision enabling data and analyses in support of Lilly’s pharmacogenomics and tailored therapeutics programs.
KEY OBJECTIVES/DELIVERABLES:
Address scientific questions by utilizing text mining tools and technologies Identify and close capability gaps in the area of Natural Language processing and Information Retrieval Share knowledge on text mining with others
MINIMUM REQUIREMENTS:
Ph.D. or MS in Biomedical Informatics/Bioinformatics/Computer Science/Computational Biology or related fields Experience in text mining and NLP approaches and tools Previous experience of applying text mining technologies to Biomedical or Life Sciences problems Knowledge of technical approaches such as POS tagging, named entity recognition, parse trees, indexing, inverted files, dictionaries, ontologies, machine learning, SVN etc Proficiency in one or more mainstream programming languages (C, C++, C#/.NET, Java, Perl, etc.)
ADDITIONAL SKILLS/PREFERENCES:
Knowledge of object-oriented programming, and/or proficiency in C#/NET Demonstrated learning agility Excellent communication and collaborative skills and proven ability to work as part of multidisciplinary teams Previous experience with I2E from Linguamatics Previous experience with XML, RDF and OWL Previous experience with data integration
Lilly credits its exceptional employees for its successes, and knows the key to ongoing achievement lies in attracting and retaining the best people. A company rich in heritage, Lilly employs individuals, conducts research and markets products worldwide. By providing for the unmet needs of our customers through a continuous stream of innovation, we will outgrow all competitors.
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™
ELI LILLY AND COMPANY IS AN EQUAL OPPORTUNITY EMPLOYER
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