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 programming languages (e.g., Python, R, MATLAB) and familiarity with AI/ML frameworks (e.g., TensorFlow, PyTorch).
  • Strong interpersonal and communication skills, with a commitment to fostering an inclusive and supportive academic environment.
  • Industrial and leadership experience in the biopharma and biomedical research sectors, with insights into the practical applications of genomics and AI/ML in the industry.
• Desirable:
  • Interest in conducting research with students, helping them gain hands-on experience and contributing to practical applications in genomics and AI/ML.
  • Experience in leveraging modern computational methods such as multi-omic analysis, AlphaFold, and other advanced bioinformatics tools.
  • Interest in writing educational research grants to enhance genomics education and secure funding for program initiatives.
  • Experience in curriculum development and a proven track record of using innovative teaching techniques.
  • Engagement with professional organizations or initiatives related to bioinformatics, AI/ML, or data science education.
  • Interest in developing interdisciplinary collaborations within the university and with external partners.

Academic Submission Guidelines:

To apply, please submit the following items as a single PDF file:

• Cover Letter
• Curriculum Vitae
• Teaching Statement that includes a) teaching interests, b) teaching philosophy, and c) a plan on how to create an inclusive environment for students of all backgrounds in terms of classroom teaching, undergraduate and master’s level research, and student advising, and graduate student mentoring
• Contact info for at least three references

For any questions, please contact the Search Committee Chair, Patricia Muisener, at pmuisene@stevens.edu  

Department

Chemistry and Chemical Biology