Teaching Assistant Professor – Computational Life Sciences

Description

The School of Life Sciences (SOLS) invites applications for two full-time, benefits-eligible, non-tenure-eligible Teaching Assistant Professor positions with an anticipated start date of August 16, 2025. Both positions are 80% teaching and 20% service. Subsequent academic year renewals (Aug. 16 to May 15) are contingent upon satisfactory performance, availability of resources, and the needs of the unit. Supplementary summer teaching may be available. 

Applicants should have a broad grasp of computational biology, coding, genomics, and biostatistics, and experience in college or university-level teaching and student mentoring. Ideally, applicants will also have experience in research, in the fields of computational life sciences, bioinformatics, biostatistics, biological computing, or genomics. 

Successful applicants will contribute to SOLS’ innovative online MS programs in Computational Life Sciences and in Biology. They will be responsible for providing instruction in online Master’s-level and undergraduate courses in genomics, genetics, coding, biostatistics, quantitative and/or computational biology. This includes supervising coursework for Applied Projects and Capstones for the Computational Life Sciences MS program. Responsibilities will include supervising graduate teaching assistants and updating/developing course materials with other faculty & staff. This person will also provide service within the school, college, and university in capacities appropriate for the position.

About School of Life Sciences

The School of Life Sciences is a broadly interdisciplinary community of undergraduates, M.S. and Ph.D. students, staff, and faculty members. We are committed to transforming science education and research by making learning more accessible, inclusive, and impactful through innovations in teaching and connections to nationally recognized research and education programs such as the Research in Inclusive STEM Education (RISE) Center. The School of Life Sciences is also home to a growing Computational Life Sciences program for undergraduate and graduate students including online and immersion MS students. SOLS is embedded within the larger community of ASU, a dynamic, progressive university dedicated to interdisciplinary collaborations, rethinking university education, and integrating excellence in research and teaching. The university has been ranked #1 in innovation by US News & World Report for the past ten years. We invite you to learn more about the School of Life Sciences and Arizona State University by visiting https://sols.asu.edu, and https://newamericanuniversity.asu.edu, respectively. Learn more about what The College of Liberal Arts and Sciences has to offer by visiting https://thecollege.asu.edu/faculty..

About The College of Liberal Arts and Sciences

The College of Liberal Arts and Sciences is the academic heart of Arizona State University, committed to improving communities on a local, national and global scale. We support the professional development and growth of our faculty and staff in their cutting-edge research to advance these aims. Within The College, our faculty engage with a large curious student body, guiding them as they grow into socially aware, critical thinkers and writers able to succeed in a wide range of careers and to address the challenges of the twenty-first century. Advancing the success of our students remains our top priority. To learn more about The College of Liberal Arts and Sciences, please visit https://thecollege.asu.edu.

About Arizona State University

ASU exemplifies a new prototype for the American public research university. As articulated in the ASU Charter, ASU is a comprehensive public research university, measured not by whom it excludes, but by whom it includes and how they succeed; advancing research and discovery of public value; and assuming fundamental responsibility for the economic, social, cultural and overall health of the communities it serves.

Qualifications

Required Qualifications:

• PhD in computational biology, quantitative biology, genomics, bioinformatics, biostatistics, or a related field by the time of appointment
• Demonstrated experience teaching college-level computational biology courses
• Demonstrated evidence of organizational and communication skills

Desired Qualifications:

• Three (3) or more years of college-level teaching experience
• Three (3) or more years of research experience in computational life sciences, biostatistics, or genomics
• Demonstrated experience teaching college-level biology courses in alternative delivery modalities such as hybrid or online
• Experience creating curriculum and teaching online
• Experience in using technology to supplement and improve pedagogy
• A record of using evidence-based methods of teaching that promote mastery of computational biological concepts and advance higher-order critical thinking, as evidenced by instruction and assessments
• Demonstrated commitment to serving and understanding the particular needs of online students
• Experience supervising and mentoring teaching assistants
• Participation in the higher education community and professional development activities (for example, authoring educational and scientific publications, presenting at conferences, attending workshops, participating in Carpentries training, etc.)
• Demonstrated commitment to working with faculty, staff, students and communities to advance the principles of the ASU Charter

Application Instructions

The application deadline is November 22, 2024. Applications will continue to be accepted on a rolling basis for a reserve pool. Applications in the reserve pool may then be reviewed in the order in which they were received until the position is filled. Candidates will be asked to create or use an existing Interfolio Dossier to submit the following application materials: (1) a cover letter, (2) a comprehensive curriculum vitae, (3) a teaching statement (two-page limit), (4) evidence of teaching excellence (e.g., summative assessments, lesson plans, curriculum, sample lesson/video, etc.), (5) name and contact information (including email address) for 3 references who may be contacted at a later stage of consideration. All applications must be sent electronically

Equal Employment Opportunity Statement

A background check is required for employment. Arizona State University is a VEVRAA Federal Contractor and an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other basis protected by law.

See https://www.asu.edu/aad/manuals/acd/acd401.html and https://www.asu.edu/titleIX/.

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