Assistant/Associate Teaching Professor - Bioengineering - Roux Institute
Northeastern University
Application
Details
Posted: 08-Nov-23
Location: Boston, Massachusetts
Type: Full-time
Salary: Open
Categories:
Engineering
Internal Number: 4771102
Assistant/Associate Teaching Professor - Bioengineering - Roux Institute
About the Opportunity
Northeastern University invites applications for full-time, non-tenure track teaching faculty in the field of computational bioengineering and biomedical data science. The Roux Institute Life Sciences and Engineering Programs seek to grow computational programs that support the life sciences and health from genomics to systems.
Responsibilities:
A faculty member at the rank of Assistant /Associate Teaching Professor is sought to teach full time in the Life Sciences and Engineering computational programs at the Roux Institute. This position is located at the Roux Institute, Northeastern University's Portland, Maine Campus.
The Assistant/Associate Teaching Professor will teach up to six (6) courses per academic year in the life sciences, health, and computational medicine programs. This individual will collaborate with teaching and research faculty at the Roux and on the Boston campus to build curriculum to support the expansion of the Boston campus bioengineering computational concentration, focusing on precision medicine. This role will also seek to grow the enrollment in the life science and engineering computational programs, including but not limited to bioengineering and bioinformatics, and work with partner organizations to support the growth of professional opportunities for graduates. This unique position seeks to integrate professional practice into learner education, supporting Northeastern's mission to develop wholly immersive learning and discovery experiences.
Teaching responsibilities include the following: a willingness to support high-quality teaching and standards through preparation of lectures based on course materials provided; effective facilitation of rich, respectful debates and discussions in an in-person or hybrid class; timely review and grading of assignments with appropriate coaching and feedback to the students; consistent connection with students and their performance; adherence to Northeastern's policies.
Qualifications:
Required Qualifications:
Ph.D. or other terminal degree in computer engineering, bioengineering, biomedical engineering, data science, or related field by the appointment start date, and commitment to teaching excellence at the university level.
Well-versed in predictive statistical modeling techniques, linear algebra, and computational modeling
Excellent communication skills and the ability to work productively and successfully interact with students, faculty, staff, and industry partners.
Desired Qualifications
Demonstrated expertise using computational methods to solve industry supported healthcare problems, but not required.
Application must include cover letter, CV, statement of teaching interests and objectives, and names and contact information of at least three references.
Position Type
Academic
Additional Information
Northeastern University is an equal opportunity employer, seeking to recruit and support a broadly diverse community of faculty and staff. Northeastern values and celebrates diversity in all its forms and strives to foster an inclusive culture built on respect that affirms inter-group relations and builds cohesion.
All qualified applicants are encouraged to apply and will receive consideration for employment without regard to race, religion, color, national origin, age, sex, sexual orientation, disability status, or any other characteristic protected by applicable law.
To learn more about Northeastern University's commitment and support of diversity and inclusion, please see www.northeastern.edu/diversity.
Founded in 1898, Northeastern University is a private research university located in the heart of Boston. Northeastern is a leader in worldwide experiential learning, urban engagement, and interdisciplinary research that meets global and societal needs. Our broad mix of experience-based education programs?our signature cooperative education program, as well as student research, service learning, and global learning?build the connections that enable students to transform their lives. The University offers a comprehensive range of undergraduate and graduate programs leading to degrees through the doctorate in nine colleges and schools.