Advanced Social Network Analysis (SNA) Instructor - Part-Time - TS/SCI with Polygraph Required

				Overview:

LMI is looking for an experienced Advanced Social Network Analysis (SNA) Instructor to join our team on a part-time/hourly basis. The instructor will deliver advanced SNA courses in support of a U.S. Federal Government Agency working with classified media. The course, titled Advanced Social Network Analysis, is a three-day program held once per quarter. This is an advanced-level instructional role requiring both technical expertise and the ability to engage and inspire students. A successful candidate will enjoy translating complex methodologies into practical, real-world use cases and empowering learners with cutting-edge analysis tools. 

Responsibilities:

* Serve as an instructor for the previously developed course curriculum 
* Set up and guide students through coding environments, following provided instructions and resources. 
* Teach Python fundamentals and advanced concepts, with a focus on the pandas library and class-specific Python packages. 
* Introduce and review SNA (Social Network Analysis) concepts, ensuring students grasp methodological foundations. 
* Educate students on community detection, pattern analysis, and temporal analysis techniques. 
* Train students to use specialized graph visualization software provided by the course curriculum. 
* Highlight the broad applicability and interdisciplinary relevance of Social Network Analysis across various data types and industries. 
* Facilitate understanding of analytical methodologies and their practical implementation through hands-on examples and exercises. 
* Provide guidance and support to students for mastering both technical tools and theoretical concepts. 
* Provide student support and troubleshooting
* Prepare and submit written post-course feedback to help refine course curriculum 
* Work with an instructional designer to refresh/update the SNA course as needed. 

Qualifications:

Required 

* Strong knowledge of Social Network Analysis (SNA) principles, including graph theory, community detection, and network visualization. 
* Proficiency in Python programming, including data manipulation with pandas, and experience with graph-related Python libraries.
* Experience with graph visualization tools and familiarity with temporal and pattern analysis. 
* Proven teaching or instructional experience, with excellent communication and facilitation skills. 
* Ability to make abstract and technical concepts accessible to a wide variety of learners. 
* Strong organizational skills, with experience in preparing and delivering instructional content. 
* Bachelor's Degree in applicable discipline. 
* TS/SCI with polygraph. 

Desired 

* Experience working in customer analytic environment. 
* Proficiency with client-specific tools.
			

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