Teaching Assistant/Associate Professor -- Chemistry and Chemical Biology

Job Description

The Department of Chemistry and Chemical Biology (CCB) in the Schaefer School of Engineering and Science (SES) at Stevens Institute of Technology (Stevens) invites applications for a Teaching Assistant or Associate Professor in Chemical Biology in the area of genomics with a specialization in Artificial Intelligence (AI) and Machine Learning (ML).

We are seeking a passionate educator dedicated to delivering high-quality instruction, curriculum development, and experiential learning experience.

The successful candidate will focus on enhancing our Chemical Biology programs and equipping students with the skills needed to succeed in AI/ML applications within the genomics field and at the interface between drug discovery and clinical research through collaboration.

Responsibilities:


* Teaching & Curriculum Development:
+ Deliver engaging and effective undergraduate and graduate courses in bioinformatics, biostatistics, and population genomics, particularly emphasizing AI/ML techniques and tools.
+ Develop and update course materials to reflect current industrial trends in genomics and AI/ML, ensuring courses are skill-based and accessible to students.
+ Employ innovative teaching methodologies, including online and hybrid learning models, to enhance student engagement and learning outcomes.


* Student Research Mentorship & Advising:
+ Provide research and career advising to students as a faculty advisor, guiding them on coursework, research projects, and career opportunities in genomics and AI/ML.
+ Supervise undergraduate and master's level research projects, both individual and group, especially senior capstone research projects and master’s special problems courses.

Support students’ development of practical skills in genomics.
+ Develop a thematic and sustainable research portfolio that would facilitate the research experience of undergraduate and Master students and that would be supported by foundations, industry, and government.


* Service & Community Engagement:
+ Contribute to departmental activities, such as student recruitment, skill-based curriculum planning, and program assessment.
+ Participate, as a thought leader, in university and community outreach to promote genomics and AI/ML, engaging with industry partners and other stakeholders.
+ Serve on departmental or university committees as needed, contributing to the governance and strategic direction of the institution.

Required Education and Experience:


* Education:
+ Advanced degree (Ph.D.

degree preferred, M.S.

level considered) in Genomics, Computer Science, Data Science, or a related field, with a strong research background in AI/ML.


* Experience & Skills:
+ Demonstrated teaching experience at the university level, with a commitment to high-quality, student-centered and skilled-based instruction.
+ Proficiency in pr...