This course will be offered as synchronous online manner as 1 evening hour per week.
About Harrisburg University…
Harrisburg University offers an applied science and technology education for students who want a degree and a dedicated pathway to a career. Its focus is to educate career-minded individuals in the areas of science, technology, engineering and math (STEM careers), giving them the tools to succeed, while helping to shape their communities, locally and beyond. Our goal is to help stimulate economic growth in our region by establishing a STEM educated workforce — a necessary resource in today’s economy.
Mission:
The Harrisburg University of Science and Technology offers innovative academic and research programs in science and technology that respond to local and global needs. The institution fosters a diverse community of learners, provides access and support to students who want to pursue a career in science and technology, and supports business creation and economic development.
HU is seeking a part-time/adjunct faculty member to teach a course within our Biotechnology graduate degree program.
Overview of MSBTEC program-The MS BTEC program is offered as a hybrid program that comprises of 100% synchronous online offerings blended with a mix of online and 3- in-person executive sessions (3 Saturdays a semester) on the main-campus in Harrisburg.
The program currently has about 150 students and is growing consistently. It offers three different concentrations in Biomanufacturing, Medical Biotechnology, and Business and Management in Biotechnology. It also offers post-bac certificates in Biomanufacturing, Medical Biotechnology, and Legal and Regulatory Policies for Biotech Industry.
BTEC 560- Design of Experiment –
Description: This course allows the student to design an experiment and learn methodology for data analysis. Components such as major characteristics of a scientific experiment, running statistical analyses to perform various tests to check validity of the data would be covered. In a case-based manner, the student works on design of an experimental protocol for an assigned conceptual research project. Trouble-shooting strategies and analyzing data sets would be covered.
Qualifications:
The candidate should have a PhD in Biotechnology or a relevant field of Life Sciences
Should be well-versed in Statistical analyses methods. Experience with SAAS applications as applied for statistical analysis is a must. Experience with statical analyses in life sciences/biotechnology applications (clinical trials data/ biomanufacturing data etc) is preferred.
Classroom teaching experience is highly desirable. Experience in offering online courses is highly desirable, but not mandatory.
Interested candidates should forward a curriculum vitae to the attention of:
Michael Dorris, Executive Recruiter
717-503-6049
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