Advanced Technical Information Analyst

Posted to IASSIST on: 2016-09-23

Employer: 3M

Employer URL:


Knowledge Discover & Analytics is a patent and technical information management and research group within the Corporate R&D Services Center. Group members support corporate initiatives including 3M IP protection, understanding competitive threats and market opportunities, and developing strategies for key technology platforms. In this position the successful candidate will provide search services and work with R&D teams to analyze and gain insight from large data sets of external information on technologies or products.

This position will focus on providing information services to 3M scientists, product development researchers, and their technical management. The candidate will work with requestors to find the best solution for their information need. Solutions may include provision of training on in-house or purchased resources, identifying appropriate outsource options, performing searches and creating search reports, or working with project teams who are analyzing large data sets of patent and other external information.

To perform these functions the positon requires:

  • Ability to interact with scientists and managers, understand their technical or business needs
  • Knowledge of databases and vendor solutions providing patent, technical and competitor information
  • Ability to effectively search and present results in a variety of formats to fit internal client needs
  • Experience and/or a passion to use vendor software to extract meaning and see trends in medium to large text-based datasets
  • Familiarity with knowledge analytics and data mining
  • Enthusiasm for learning, conducting information research, and constructing visualizations of technical information content

Basic Qualifications:

  • Bachelor’s degree or higher in a science or engineering discipline from an accredited university
  • Minimum of two (2) years combined industry experience in Research & Development and/or post-graduate academic research in text-based natural language processing (NLP)

Preferred Qualifications:

  • Master’s degree or higher in Biology, Chemistry, Computer Information Systems, Computer Science, Electrical Engineering, Engineering, Information Science or Physics from an accredited university
  • Experience using NLP software to extract meaning and discover patterns in text and numerical datasets
  • Experience in precision searching using Boolean logic in technical databases
  • Demonstrated experience in understanding scientific concepts and engineering processes
  • Strong written and oral communication skills in English
  • Interpersonal skills and ability to sustain strong partnerships with key stakeholders
  • Effective presentation and communication skills
  • Ability to work independently and prioritize work assignments

Archived on: 2016-09-27