Subject Matter Experts, May 2017, School of Science and Mathematics

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Subject Matter Experts – Data Science

Position: Truman State University seeks subject matter experts in data science to develop course materials for up to four courses in Truman’s online graduate certificate program in Data Science.  A successful candidate will author course content (text and multimedia), author formative questions and feedback, and design authentic assessments for summative evaluation of student competencies. 

Location:  Remote.  Qualified applicants may work from their home location.

Qualifications:  As Data Science is an emerging interdisciplinary field, candidates may not necessarily possess all of the qualifications described here.  Preference will be given to candidates possessing the optimal combination of characteristics appropriate for work on the specific courses of the program.

Minimal Requirements

  • A university degree at the Master’s level, in a field relevant to Data Science (such as computer science, statistics, biostatistics, etc.) and one of the following:
    • at least three years of workplace experience actively employing the techniques and best practices of data science.
    • working proficiency with R, R Studio, R markdown, GGPlot2, Hadoop, and Unix Shell.

Preferred Characteristics

  • A doctoral degree in a field relevant to Data Science
  • University-level teaching experience or significant workplace training experience in the subject matter.
  • Prior experience developing educational content, such as textbooks, technical manuals, online learning objects, etc.
  • Prior experience developing course content for online delivery.
  • Prior experience building educational content in an adaptive learning platform.

Truman reserves the right to hire individuals, or teams of individuals, should a combination of talents prove desirable for a particular course.


Subject matter experts will be expected to develop original course content and curate freely available open education resources (OERs).  Content will be developed within an adaptive learning platform.  Course development will be guided by course objectives and syllabi created beforehand by Truman faculty.  All created content will be reviewed and approved by an interdisciplinary advisory committee.

Subject matter experts will work with Truman-based instructional designers to prepare subject content for delivery.

Contributions must be completed prior to anticipated course launch in January 2018 and follow a pre-determined and agreed-upon production timeline.  The expected production timeline for a course is approximately 3 months in duration.  Individuals who possess the qualifications to serve as graduate faculty may also be considered for ongoing roles as course mentors or assessment evaluators in the program after launch and should indicate that interest in their cover letter at the time of application

Applicants will be evaluated on: academic/professional qualifications; teaching experience and/or experience designing educational materials; evidence of effective communication skills; and evidence of being able to produce projects of significant scope on deadline. 

Program:  The program consists of four required courses and a capstone course in which students develop their own projects under faculty supervision.  Students complete formative assessments within the adaptive learning environment, preparing them for authentic summative assessments which determine mastery of content.  Course objectives are designed to map to common industry needs in the field and were developed with the help of data science practitioners in business and industry.    

Subject matter experts are sought for the following four program courses:

PDAT 610G          Introduction to Data Science A study of what data science is, how it works, its impact on our world, and the tools used in its practice.

PDAT 611G          Big Data Management Exploration of data analysis of very large data sets. Problems of scalability, network failure, and ill-suited data sets. Examination of the capabilities and limitations of available tools.

PDAT 613G          Data Mining An exploration of techniques used to find patterns in very large data sets, with an emphasis on the statistical structure of the approaches and practical uses of key tools.

PDAT 615G          Machine Learning  Introduction to statistical learning techniques such as regression, regularization, and principal component analysis, with review of programming in languages such as R or Python.  Exploration of neural networks, support vector machines, unsupervised learning, and reinforcement learning.

The University: A vibrant community of teacher-scholars with a highly selective admissions policy, Truman is a residential university focused on providing its approximately 6,000 students with broad liberal arts experiences and depth of study in 48 undergraduate majors, 56 minors, and 8 graduate programs. Truman is nationally recognized for the quality of the educational opportunities it offers and for its leadership in the assessment of student learning and continuous improvement. As Missouri’s public liberal arts and sciences university, for the 20th consecutive year Truman has been recognized as the number 1 public university in the Midwest region (Master’s category) by U.S. News and World Report. Truman is also ranked as the Number 1 Undergraduate Teaching University in the Midwest. Consumer Reports ranks Truman as the number 1 value in higher education in the nation.

Application: The application process is handled by the Institute for Academic Outreach on behalf of the School of Science and Mathematics and the School of Business. Electronic submission of the application is required and can be completed at Completed applications must include a cover letter, CV, undergraduate and graduate transcripts (as applicable), and the names and contact information of three references.  Applicants should indicate in their cover letter which course(s) they feel qualified to support.

Review of applications will begin June 1, 2017 and will continue until the positions are filled. If hired, the applicant must provide proof of eligibility to work in the United States and official graduate transcripts or documentation of degrees if transcripts are not available.

Questions should be directed to the Associate Provost, Dr. Kevin Minch, by email at

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