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Patent Analyst - COMPUTER/INFO SCIENCES

  • Job Tracking ID: 512196-424928
  • Job Location: Scottsdale, RMT
  • Job Level: Entry Level (less than 2 years)
  • Level of Education: BA/BS
  • Job Type: Full-Time/Regular
  • Date Updated: September 23, 2022
  • Years of Experience: Less Than 1 Year
  • Starting Date: October 10, 2022



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Job Description:

Global Patent Solutions, LLC (GPS) is an intellectual property research and consulting firm founded to meet the demanding needs of Inventors and IP professionals around the world for high-quality patent research and consulting.  From our headquarters in Scottsdale, AZ, we currently service a global client-base of IP Attorneys, Patent Agents, Business Leaders, R&D Teams, Universities, Entrepreneurs and Inventors.

 

This is not your ordinary, run-of-the-mill research position.  Each project is unique and possesses a new challenge for you to tackle.  You must be able to assess and analyze the best way to approach a project.  Previous patent knowledge is great; however, it is not required. We are willing and able to train.

 

The Research Analyst primarily will perform research of invention concepts related to the technologies listed above using a variety of databases and compile formal search reports to demonstrate findings to clients. A majority of work requires in-depth reading, writing and working on computers.

 

The position entails:
  • Quickly reviewing and gain an understanding of technical aspects of client inventions and/or technical search concepts
  • Creating research strategies that best utilize time and resources when executed
  • Perform extensive database research
  • Reviewing, gathering and analyzing technical literature
  • Report research findings in a timely and high-quality manner

 

We are a growing company located in Scottsdale, Arizona (Position Location: Scottsdale, AZ). We are primarily interested in hiring full-time positions in our Scottsdale office. It is possible, though not preferred, that unique circumstances would lead us to also consider an employee working remotely; this position, however, must be filled within the U.S.

 

If you can manage yourself, as micro-managing is not our style, and you are motivated to get results in a timely manner, this could be a great opportunity for you to learn and grow with a quality-driven company.

 

This position requires you to:

  • Meet and exceed client needs and deadlines by providing viable research solutions and being reliable and dedicated to getting the job done.
  • Quickly, continuously and concisely Learn, Interpret, Comprehend, Retain and apply technical abilities. Enjoy an ongoing learning and computer-based environment that is dedicated to quality.
  • Thrive in ambiguity and to self manage, prioritize and take pride in the work with the team and individually.
  • Proactively, confidently and effectively communicate with internal team members and external clients. Don't be afraid to ask for help. Be supportive and helpful to others on all levels.
  • Actively participate as a team member to best serve clients and the team.

You will mostly work on your own, but we do have a wonderful, supporting staff that requires some teamwork on occasion. We are looking for an efficient and flexible team player who likes to have fun too!

 

** THIS IS A REMOTE POSITION

Experience and Skills:

  • Previous patent examining or patent searching experience preferred, but not required.
  • BS required. MS or PHD in Engineering, Computer Science or relevant degree preferred.
  • Must have US Work Authorization and have resided in the United States continuously for the last two years.
  • However, candidates applying for this position MUST have previous experience or extensive knowledge in at least one of the following technical area:

 

  • Computer / Info Sciences:
Computer Architecture, Software, Data Processing, Network Communications, Cryptography, Information Storage, Data Security, Image or Video Processing, Virtual/Augmented/Mixed Reality Systems, Blockchain, Cryptocurrency, AI/Machine Learning/Neural Networks, Quantum Computing