Job Description

The successful candidate will serve as the lead faculty member for key courses in the Data Analytics and Insights in Animal Health Graduate Certificate and the Industrial Analytics track of the M.S. in Applied Biosciences. There will also be opportunities to develop new coursework and initiatives at both the graduate and undergraduate levels, aligning program content with evolving industry needs.
In addition to teaching responsibilities, the position includes active collaboration with the 1Data Initiative (https://olathe.k-state.edu/research/1data/), an interdisciplinary effort connecting data across sectors to improve multiple areas of research.

We are particularly interested in candidates with a track record of cross-disciplinary collaboration and strong industry experience in biostatistics and analytics. Specific Job Responsibilities include:

A. Teaching & Workforce Development

The successful candidate will take the lead in teaching dynamic, real-world courses that blend academic rigor with practical application. Teaching expectations will be a total of 21 teaching units for a 12-month appointment in the areas of biostatistics and industrial analytics. These programs aim to serve sectors like community health, advanced manufacturing, and other domains where data-driven decision-making is key. Depending on workforce needs and program demand, your teaching responsibilities may flex between credit and non-credit offerings.

Primary teaching will be courses in the Data Analytics and Insights in Animal Health Graduate Certificate, and the Industrial Analytics track within the MS in Applied Biosciences program. Opportunities exist to design and deliver special topics in biostatistics, based on emerging trends and areas of interest.
Workload for these credit-bearing courses is equivalent to a 4/3 teaching load across fall and spring semesters, or a 3/3/1 load spread across fall, spring, and summer sessions.
Courses may be delivered in in-person, online, or hybrid formats to meet the diverse needs of working professionals and non-traditional learners.
The successful candidate may also contribute to workforce development by designing and delivering non-credit workshops, short courses, and training programs as needed in place of credit-bearing courses. These offerings will focus on industry-relevant skills and support professional upskilling in areas such as, but not limited to, applied analytics, data visualization, statistical methods, and machine learning.
B. Cross-Campus & Engagement

Actively contribution to 1Data (https://olathe.k-state.edu/research/1data/) with biostatistical expertise, supporting data integration, and research across various programs including strategic initiatives such as Food as Medicine, Community Health, and Advanced Manufacturing. Through 1Data research, mentoring opportunities for undergraduate / graduate students will also be possible.
Partner with industry collaborators to ensure applied, translational analytics training that bridges academic and industry needs.
C. Service & Coordination

Manage and coordinate content associated with industrial analytic credit and non-credit offerings, ensuring program content remains aligned with industry standards. Opportunities exist to develop new coursework and initiatives with evolving industry needs.
Coordinate the scheduling of certificate course offerings to meet the needs of both traditional students and working professionals. This includes collaborating with admissions, student success, and continuing education to ensure processes are aligned and compliance is maintained across credit-bearing and professional development programs.
Collaborate on marketing materials that highlight the strength of the programs to broaden visibility to prospective learners and company partners.