1. What is the average salary of a VP of Patent Law?
The average annual salary of VP of Patent Law is $257,482.
In case you are finding an easy salary calculator,
the average hourly pay of VP of Patent Law is $124;
the average weekly pay of VP of Patent Law is $4,952;
the average monthly pay of VP of Patent Law is $21,457.
2. Where can a VP of Patent Law earn the most?
A VP of Patent Law's earning potential can vary widely depending on several factors, including location, industry, experience, education, and the specific employer.
According to the latest salary data by Salary.com, a VP of Patent Law earns the most in San Jose, CA, where the annual salary of a VP of Patent Law is $324,762.
3. What is the highest pay for VP of Patent Law?
The highest pay for VP of Patent Law is $290,191.
4. What is the lowest pay for VP of Patent Law?
The lowest pay for VP of Patent Law is $220,112.
5. What are the responsibilities of VP of Patent Law?
Plans and directs all aspects of an organization's patent related legal issues. Provides patent expertise to other departments where needed. Demonstrates expertise in a variety of the field's concepts, practices, and procedures. Requires a JD. Typically reports to top management. Manages a departmental function within a broader corporate function. Develops major goals to support broad functional objectives. Approves policies developed within various sub-functions and departments. Typically requires 8+ years of managerial experience. Comprehensive knowledge of the overall departmental function.
6. What are the skills of VP of Patent Law
Specify the abilities and skills that a person needs in order to carry out the specified job duties. Each competency has five to ten behavioral assertions that can be observed, each with a corresponding performance level (from one to five) that is required for a particular job.
1.)
Communication Skills: Communication skills are your ability to share or understand information, ideas, and feelings successfully.
2.)
Computer Science: Computer science is the study of computation, automation, and information. Computer science spans theoretical disciplines (such as algorithms, theory of computation, information theory, and automation) to practical disciplines.
3.)
Cell Biology: Utilizing techniques to study cell structures and functions for further research on human anatomy, physiology, and medications.