Mica

Adjunct Faculty, Data Analytics and Visualization

Baltimore, MD

Sponsorship not specifiedDetected 31 days ago

PythonData AnalysisData VisualizationStatisticsIllustratorExcelLeadershipCommunication

About the role

Welcome to the official site for employment opportunities at MICA.
General purpose: To provide asynchronous instruction for Data Analytics and Visualization (DAV) graduate students and to convey knowledge of multiple elements of data analytics from a professional perspective.
Essential Duties & Responsibilities: - Prepare asynchronous lesson plans for the duration of the course.

Maintain consistent communication with students:
Maintain the Canvas course throughout the term. This includes updating the syllabus, setting assignments with due dates, and providing slide decks and other materials to students in modules.
Perform other related duties as assigned.
Design Lab: The Industry Challenge
Collaborate and coordinate with Program leadership and faculty.
Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

Physical Demands: While performing the duties of job, the employee is occasionally required to stand, walk
To provide asynchronous instruction for Data Analytics and Visualization (DAV) graduate students and to convey knowledge of multiple elements of data analytics from a professional perspective.
Applicants should have experience and expertise in at least one of the above areas of knowledge.
Courses in this degree include:
Proficiency in data analytics and visualization programs such as R, Tableau, Excel, Python, Adobe Illustrator, and others as necessary.
Required training: Handbook orientation, Anti-Harassment, Hazard Communication, Emergency Plans & Fire Prevention, Personal Protection Equipment.
While performing the duties of job, the employee is occasionally required to stand, walk; sit; use hands to finger, handle, or feel objects, tools, or controls; reach with hands and arms; balance; stoop; talk or hear.

Master's degree in a related field plus proven/relevant experience
Experience teaching in an online or asynchronous format.
Expert knowledge of data visualization tools such as R, Tableau, Python, D3
Conditions of Employment:
Satisfactory background check
$4,515.00 - $7,656.00 (commensurate with experience )
Physical demands and
Bachelor's degree in a related field plus proven/relevant professional experience

Specific vision abilities required by the job include close vision, distance vision, color vision, peripheral vision, depth perception, and the ability to adjust focus.
This may include sourcing supplementary materials from diverse sources, ensuring course materials are relevant, up-to-date, and in alignment with program learning objectives.
Design and deliver engaging asynchronous learning materials, including video lectures, interactive exercises, and discussion forums.
Applicants should be comfortable with using technology in an online learning environment, including Canvas and video conferencing platforms.
Develop and maintain an engaging asynchronous online learning environment via Canvas.
Provide core instruction to satisfy primary learning objectives of the course.
Work directly with the curriculum team to establish program and course learning objectives, standardize rubrics and syllabi, and assist in structuring course materials on Canvas.
This policy applies to all programs, facilities, and activities provided by Maryland Institute College of Art, including but not limited to admission, educational programs, and employment.

At MICA, we empower our employees to use their talent in a variety of ways.
We are pleased that you are interested in career opportunities offered at MICA.
If you need a reasonable accommodation for any part of the application and hiring process, please contact Human Resources at 410-225-2363.

equal opportunity regardless of race, color, creed, national origin, religion, gender, sexual orientation, marital status, age, disability, or veteran status (disabled, Vietnam-era, or otherwise).

This listing is sourced directly from Mica's careers page and normalized into a canonical job model.