Statistical Assistant Jobs in Miami, FL (NOW HIRING)

St. Thomas University is a Catholic university in Miami Gardens, Florida, dedicated to developing ethical leaders for a global community. The University is accredited by the Southern Association of Colleges and Schools Commission on Colleges (SACSCOC) to award baccalaureate, master's, law, and doctorate degrees. The Gus Machado College of Business serves undergraduate and graduate learners through mission-driven, applied, and professionally relevant business education.

The Gus Machado College of Business invites applications for a full-time, 9-month, renewable faculty appointment at the rank of Assistant Professor. The College seeks a student-centered educator-scholar who can contribute across business analytics and quantitative methods, supply chain, operations and logistics management, and related areas such as managerial economics.

Candidates who can teach effectively in more than one of the College's areas of need are especially encouraged to apply. The successful candidate will support undergraduate and graduate education, engage in mission-aligned scholarship, participate in assurance-of-learning and continuous-improvement activities, mentor students, and build meaningful connections with business, industry, community, and global partners.

• Quantitative and Statistical, and data-informed decision-making
• Supply chain, operations, logistics, and process improvement management
• Managerial economics

• Teach undergraduate and graduate courses in assigned areas of expertise using on-ground, online, hybrid, and other approved instructional modalities.
• Design and deliver current, rigorous, inclusive, and applied learning experiences that integrate theory and practice through cases, simulations, laboratories, analytics, projects, and engagement with organizations.
• Use relevant digital, analytical, and information technologies responsibly and ethically to prepare learners for technology-forward business environments.
• Develop and maintain course syllabi, learning activities, assessments, and instructional materials aligned with program competencies and College expectations.
• Participate in assurance-of-learning activities, including assessment of program learning outcomes, analysis of results, documentation of findings, and implementation of improvements that close the assessment loop.
• Demonstrate teaching effectiveness through evidence-informed instructional design, learner engagement, timely feedback, reflective improvement, and participation in faculty development.
• Advise and mentor undergraduate and graduate students, support persistence and degree progression, supervise applied or research projects when assigned, and contribute to career readiness and post-graduation success.

• An earned doctorate by the start date from an appropriately accredited institution in quantitative and statistical analysis, operations management, supply chain management, logistics, economics, business administration, or a closely related business discipline.
• Academic preparation sufficient to meet University credentialing requirements and applicable accreditation expectations for the courses assigned.
• Evidence of, or strong potential for, effective undergraduate and graduate teaching.
• Evidence of, or strong potential for, a sustained program of scholarly and/or professionally engaged activity appropriate to the College's mission and faculty qualification policies.
• Ability to use contemporary instructional technologies and data-informed approaches to teaching and learning.
• Commitment to student advising, mentoring, inclusive excellence, ethical leadership, and the success of learners from varied backgrounds.
• Strong written, oral, interpersonal, and collaborative communication skills.

• Demonstrated teaching effectiveness at the college or university level, including experience teaching graduate or MBA courses.
• Ability to teach across multiple areas of need, particularly business analytics/quantitative analysis and supply chain/operations/logistics.
• Record of peer-reviewed, applied, pedagogical, interdisciplinary, or industry-engaged scholarship.
• Relevant professional or industry experience and evidence of sustained engagement with the practice of business.
• Experience with analytical and business technologies such as Excel, Tableau, Power BI, enterprise systems, simulation, optimization, or supply-chain platforms.
• Experience with assurance of learning, program assessment, curriculum mapping, accreditation, or continuous-improvement processes.
• Experience developing new courses, certificates, concentrations, degree programs, experiential learning, or industry partnerships.
• Evidence of successful grant development, sponsored projects, consulting, or externally supported research.
• Global, intercultural, or cross-sector experience that can strengthen international collaboration and locally relevant management education.