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. 

• 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. 

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.