Professor of Practice

Arizona State University: Office of the University Provost West: New College of Interdisciplinary Arts and Sciences: School of Mathematical and Natural Sciences Location ASU West Valley Campus Open Date Nov 21, 2023 Description The School of Mathematical and Natural Sciences in the New College of Interdisciplinary Arts and Sciences at Arizona State University invites applications for a full-time Professor of Practice in Biological Data Science.
A person fulfilling this position is expected to teach graduate courses within the Biological Data Science Master’s degree program as well as contribute to the design and leadership of the program.
Additionally, the position requires the mentorship of graduate students and the contribution of service to the school, college, university, and the profession.
Applicants must present evidence of broad interdisciplinary expertise and/or direct experience and training in any area in computational biology, biostatistics, bioinformatics, applied mathematics, physics, or computer science with applications in biology.
This is a non-tenure-track academic year teaching position (9-month).
Faculty duties include teaching in person and online.
Subsequent one-year appointments may be offered, under the same terms and conditions, at the discretion of the college and university.
It seeks candidates who will create a climate of diversity that attracts and supports the success of students of all races, nationalities, and genders.
This position will begin in August 2024.
Faculty in the School of Mathematical and Natural Sciences have the opportunity to work in a unit that values innovative research and education equally while being housed in an R1 university.
This has created the opportunity for our diverse student population to obtain individual faculty mentorship on the West Valley Campus of ASU, which provides a close-knit residential campus setting.
About the School: The School of Mathematical and Natural Sciences, in the New College of Interdisciplinary Arts and Sciences at Arizona State University, is an interdisciplinary mathematical and natural sciences unit that encompasses computing, statistics, applied mathematics, biology, chemistry, and physics; it prides itself in interdisciplinary collaborations among these research areas.
The School of Mathematical and Natural Sciences embraces the ideal of a fully inclusive and welcoming STEM community and seeks candidates who will create a climate that attracts and supports the success of students of all races, nationalities and genders.
We strongly encourage women and underrepresented minorities to apply.
The School is committed to recruiting and retaining students and faculty from groups that have historically been underrepresented in the sciences.
To learn more about MNS, please visit our page, https://newcollege.
asu.
edu/smns/degrees.
ASU is a new model for American higher education, an unprecedented combination of academic excellence, entrepreneurial energy and broad access.
This New American University is a single, unified institution comprising four differentiated campuses positively impacting the economic, social, cultural and environmental health of the communities it serves.
Its research is inspired by real-world applications blurring the boundaries that traditionally separate academic disciplines.
ASU serves more than 80,000 students in metropolitan Phoenix, Arizona, the nation's fifth-largest city.
ASU champions intellectual and cultural diversity and welcomes students from all fifty states and more than one hundred nations across the globe.
All we do at ASU is guided and inspired by the University Charter, which reads: 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.
Successful candidates will demonstrate throughout their materials how their teaching, research, and service will contribute to the fulfillment of this charter.
Essential Functions of the Position: The individual filling this position is expected to: Provide in-person and online high-quality instruction in interdisciplinary areas encompassed by the Biological Data Science program at the undergraduate and graduate level.
Develop, maintain, and update course materials as appropriate to the field and modality.
Advance impactful education through programmatic responsibilities including graduate mentorship and innovative curricular development, and cultural-responsive teaching and mentoring practices.
Coordinate regular training and supervision of graduate student course assistants.
Convert professional real-world experiences to classroom learning and programs.
Contribute service to the school, college, university, and the profession.
Provide course coordination for classes with multiple sections; Support and/or lead the ongoing development of the Biological Data Science program; Advance collegiality; we value a highly collaborative community and culture that prioritizes mutual respect, equitable inclusion, support, and collective success of our faculty staff, and students.
All employees are expected to contribute to a positive and healthy work environment and role model professional behavior for our students.
Qualifications Required Qualifications: Doctorate or terminal degree in Bioinformatics, Data Science, Biostatistics, Computational Biology, Applied Mathematics, Computer Science, Biology, Ecology, Physics or related field at the time of hire.
Sustained (5 years) professional experience in the area of Bioinformatics, Data Science, Biostatistics, Computational Biology, Applied Mathematics, Computer Science, Biology, Ecology, Physics, or related field.
Desired Qualifications: Creation of course curriculum or professional training.
Successful record of advanced professional mentorship.
Successful record of programmatic development and on-going program assessment and evaluation.
Experience in culturally responsive teaching and mentoring practices.
Established collaborations with industry partners and/or previous industry experience.
Commitment to working successfully with a diverse student population, including first-generation college students, non-traditional, low-income college students, and those from under-represented minorities.
Application Instructions Application Deadline: The initial application deadline is January 6, 2024, at 11:59 p.
m.
, Eastern Standard Time.
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.
A background check and official transcripts are required prior to employment.
For assistance with your application, or for position-related questions, contact Norma.
Peru-Ray@asu.
edu.
Application Procedure: Only electronic submissions via Interfolio will be reviewed.
All required materials must be submitted at time of initial application.
Incomplete applications will not be considered.
Please submit all application materials to apply.
interfolio.
com/137036.
Applications must contain: Cover letter that addresses the required and desired qualifications and how your experience will demonstrate the University Charter Curriculum vitae with contact information, including telephone number and e-mail address One-page statement of teaching philosophy Statement describing current and future mentorship plans, and how your experience will support the students within the Biological Data Science program Evidence of teaching effectiveness – e.
g.
, student evaluations, syllabi, peer observation, annual evaluations, etc.
Unofficial graduate transcripts Information for three professional references (their position, title, e-mail, phone number), one reference must be from your current or most recent employer ASU conducts pre-employment screening for all positions which includes a criminal background check, verification of work history, academic credentials, licenses, and certifications.
Employment is contingent upon the successful passing of the background check.
Application Process This institution is using Interfolio's Faculty Search to conduct this search.
Applicants to this position receive a free Dossier account and can send all application materials, including confidential letters of recommendation, free of charge.
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/.
) In compliance with federal law, ASU prepares an annual report on campus security and fire safety programs and resources.
ASU’s Annual Security and Fire Safety Report is available online at https://www.
asu.
edu/police/PDFs/ASU-Clery-Report.
pdf You may request a hard copy of the report by contacting the ASU Police Department at 480-965-3456.