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Teaching Assistant/Associate Professor, Chemistry and Chemical Biology

Employer
Stevens Institute of Technology School of Systems & Enterprise
Location
Hoboken, New Jersey (US)
Salary
Commensurate with experience
Date posted
Oct 25, 2024
Website
https://www.stevens.edu/hr/careers-at-stevens
View more categoriesView less categories
Position Type
Faculty Positions, Science & Mathematics, Chemistry
Employment Level
Non-Tenured Track
Employment Type
Full Time
Institution Type
Private Four-Year Institutions

Job Details

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:

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

 

EEO Statement:

Stevens Institute of Technology is an Equal Opportunity Employer. Accordingly, Stevens adheres to an employment policy that prohibits discriminatory practices or harassment against candidates or employees based on legally impermissible factor(s) including, but not necessarily limited to, race, color, religion, creed, sex, national origin, nationality, citizenship status, age, ancestry, marital or domestic partnership or civil union status, familial status, affectional or sexual orientation, gender identity or expression, atypical cellular or blood trait, genetic information, pregnancy or pregnancy-related medical conditions, disability, or any protected military or veteran status.

Stevens is building a diverse faculty, staff, and student body and strongly encourages applications from people of all backgrounds. Stevens is a federal contractor under the Vietnam Era Veterans' Readjustment Assistance Act (VEVRAA) and the Rehabilitation Act of 1973, as well as other federal statutes.

 

NSF ADVANCE Institution:

Stevens values diversity and seeks candidates who will contribute to a welcoming and inclusive environment for faculty, staff, and students of all backgrounds. We are an NSF ADVANCE Institution committed to equitable practices and policies and strongly encourage applications from women, racial and ethnic minority candidates, veterans, and individuals with disabilities.

 

Jeanne Clery Disclosure:

In accordance with the Jeanne Clery Disclosure of Campus Security Policy and Campus Crime Statistics Act (Clery Act), the Department of Public Safety is required to publish an annual security report which includes statistics mandated by the Clery Act. Click here for a copy of this report.

 

Stevens Institute of Technology, The Innovation University®, is a premier, private research university situated in Hoboken, N.J., overlooking the Manhattan skyline. Founded in 1870, technological innovation has been the hallmark and legacy of Stevens’ education and research programs for more than 140 years

Company

Stevens Institute of Technology, The Innovation University®, is a premier, private research university situated in Hoboken, N.J. overlooking the Manhattan skyline. Founded in 1870, technological innovation has been the hallmark and legacy of Stevens’ education and research programs for more than 140 years.

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