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University of Rochester Assistant/Associate/Full Professor, Instructional Track in Rochester, New York

University of Rochester: Office of the Provost: Academic Center: Hajim School of Engineering & Applied Sciences: Institute for Data Science

Salary Range or Pay Grade

12-month salary: $90,000 to $140,000 (depending on rank)

Description

The University of Rochester’s Goergen Institute for Data Science (GIDS) seeks to hire an outstanding candidate for an Instructional Faculty position (open to candidates at all ranks – Assistant, Associate, or Full) in Data Science for our recently approved online MS degree in Healthcare Data Science and AI with a start date of preferably Spring or Summer 2025.

This online MS program is a brand-new initiative developed jointly with the Health Lab (https://www.urmc.rochester.edu/health-lab.aspx) at the University of Rochester Medical Center (URMC), complementing our current undergraduate and graduate in-person education programs. Target audience for this online program includes professionals from various backgrounds including those already working in the healthcare domain in technical or clinical roles and looking to gain relevant skills in data analytics and data science applied to the healthcare industry. With an online offering, we strive to have a broad reach and impact beyond the immediate Rochester region into New York state as well as nationally and globally.

The candidate will have the opportunity to innovate and shape the curriculum and program offerings as the program matures to identify new audiences and delivery formats. The candidate will have multiple opportunities to collaborate with researchers, data scientists and clinicians across campus in these endeavours.

Responsibilities:

  • Develop and teach entry and advanced level courses for master’s level students in Healthcare Data Science. Topics of courses include applied machine/deep learning and data mining, healthcare database systems (EHR), data visualization and exploratory data analysis, healthcare data privacy, ethics, fairness, and the culminating data science capstones. Opportunities exist for developing and teaching additional courses in areas of healthcare data privacy, ethics, fairness,computer vision, and text analytics/NLP/LLMs, depending on the candidate’s interests and background.

  • Participate in department education initiatives such as student advising, build relationships with external companies/partners to source capstone projects, serve on admissions committees for graduate program admissions, collaborate on design and revision of curricula.

  • Manage the day-to-day administration of this MS program including admission/enrollment management, marketing the program regionally/nationally and internationally, assigning internal/external/adjunct instructors to courses, and coordinating with other related administrative functions within the university.

  • Contribute to broad institute initiatives including new professional graduate programs and certificate programs working collaboratively with industry stakeholders, faculty, and university administrators to understand unmet needs aligning with appropriate university resources.

The University of Rochester is a distinguished research university.

As a university-wide initiative, the Goergen Institute for Data Science (GIDS) -- https://www.hajim.rochester.edu/dsc/) was founded in 2015 as part of the University of Rochester’s $100 million commitment to making data science its top research priority. The Institute serves as a hub for interdisciplinary data science and AI research, interdepartmental data science and AI academic programs, and collaborations with local companies. Through research and education initiatives led by GIDS, the University of Rochester intends to be among the world’s leaders in data science and AI. Ninety-one faculty members from a variety of disciplines across the campus (representing all the nine schools of the university) are affiliated with GIDS. GIDS has been a leader in data science education and recognized for being one of the first universities to launch an undergraduate and graduate (MS) degree program in data science.

The city of Rochester, NY is a diverse, energetic, and family-friendly community located on Lake Ontario adjacent to the Finger Lakes region with a metropolitan population of 1 million. Rochester also boasts a thriving arts and music culture, substantial employment opportunities in various sectors, affordable housing, a rich history of social justice, and easy access to urban, suburban, and rural neighborhoods.

Salary range (12-month salary): $90,000 to $140,000 (depending on rank)

The referenced pay range represents the full base range of pay for this job. Individual salaries will be determined within the job’s salary range and established based on market data, experience and expertise of the individual, and internal equity considerations.

The University of Rochester community is committed to Meliora – becoming ever better. Through our Vision & Values statement ( https://www.rochester.edu/aboutus/values/ ) we affirm our commitment to equity, leadership, integrity, openness, respect and accountability.

The University of Rochester has a strong commitment to diversity and to groups underrepresented in higher education. The University is an Equal Opportunity Employer, and all qualified applicants will receive consideration for employment without regard to race, color, sex, religion, age, sexual orientation, gender identity or expression, national origin, disability, or protected veteran status.

EOE / Minorities / Females / Protected Veterans / Disabled

Qualifications

Applicants must have a strong background in Data Science and a Ph.D. in a related field including but not limited to Computer Science, Electrical Engineering, Statistics, as well as experience in and knowledge about graduate teaching and curricular issues.

Preference will be given to candidates with prior experience and background in applying data science and AI techniques to healthcare problems either via prior academic research/teaching and/or industry experience.

While the instructional role for the online course delivery can be fulfilled remotely, the administrative responsibilities will require on-campus interactions with university administrators and faculty. Preference will be given to candidates in the Rochester area or willing to relocate.

Applicants should submit

  • a cover letter

  • a CV

  • a teaching statement

  • a statement discussing the ways in which your experiences will shape your pursuits as a member of our faculty and help you add to the University's core values of Meliora (https://www.rochester.edu/about/values.html) (ever better)

  • at leastone sample syllabus of a course you have taught

  • contact information of two referees.

Application Instructions

Questions concerning this position can be addressed to Ajay Anand, Professor and Deputy Director, Goergen Institute for Data Science, or Mujdat Cetin, Director of the Goergen Institute for Data Science. Applications received by December 1, 2024 will be given priority consideration. Applications received after that date will be considered until the position is filled. The University of Rochester is an Equal Opportunity Employer with a strong commitment to diversity, and actively encourages applications from candidates from groups underrepresented in higher education. 

Equal Employment Opportunity Statement

The University of Rochester is committed to fostering, cultivating, and preserving a culture of equity, diversity, and inclusion to advance the University’s mission to Learn, Discover, Heal, Create – and Make the World Ever Better. In support of our values and those of our society, the University is committed to not discriminating on the basis of age, color, disability, ethnicity, gender identity or expression, genetic information, marital status, military/veteran status, national origin, race, religion/creed, sex, sexual orientation, citizenship status, or any other status protected by law. This commitment extends to the administration of our policies, admissions, employment, access, and recruitment of candidates from underrepresented populations, veterans, and persons with disabilities consistent with these values and government contractor Affirmative Action obligations.

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