Position Details
Position Information
| Recruitment/Posting Title |
Assistant Professor of Professional Practice (Non-Tenure Track), Dean's Office, School of Arts & Sciences-Newark |
| Department |
School of Arts & Sciences Newa |
| Salary Details |
Minimum of $82,110 |
| Offer Information |
The final salary offer may be determined by several factors, including, but not limited to, the candidate's qualifications, experience, and expertise, and availability of department or grant funds to support the position. We also take into consideration market benchmarks, if and when appropriate, and internal equity to ensure fair compensation relative to the university's broader compensation structure. We are committed to offering competitive and flexible compensation packages to attract and retain top talent. |
| Benefits |
Rutgers provides a comprehensive benefits package to eligible employees. The specific benefits vary based on the position and may include:
- Medical, prescription drug, and dental coverage
- Paid vacation, holidays, and various leave programs
- Competitive retirement benefits, including defined contribution plans and voluntary tax-deferred savings options
- Employee and dependent educational benefits (when applicable)
- Life insurance coverage
- Employee discount programs
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| Posting Summary |
The Dean's Office, School of Arts and Sciences-Newark, invites applications for a full-time, calendar-year, non-tenure track Assistant Professor of Practice. The position will work across
SASN, with an appointment to an academic department based on the finalist's expertise. This position is designed for a scholar-practitioner with strong applied experience in data science who will contribute to interdisciplinary teaching, grant-funded research support, building consultation capacity, and community-engaged initiatives aligned with SASN's mission.
The position will design and deliver short, intensive, skills-based data science modules for faculty, students, and community members. The successful candidate will also support faculty research and build and support SASN's consultation capacity.
Responsibilities
- Design and deliver brief, intensive, skills-based instructional modules, including advanced data science topics, for diverse audiences (faculty, undergraduate and graduate students, and community members).
- Build consultation capacity and provide consultative support to faculty across the School of Arts and Sciences and to external partners on data-driven research design, methods, and tools.
- Support external grant development, including methodological input, data management plans, and broader impacts related to data science.
- Collaborate with grant-funded institutes, centers, and initiatives to strengthen interdisciplinary and community-engaged research.
- Contribute to community-engaged and public-interest data science activities aligned with SASN's mission.
- Participate in service activities appropriate to a full-time faculty member appointment.
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| Position Status |
Full Time |
| Posting Number |
26FA0206 |
| Posting Open Date |
03/09/2026 |
| Posting Close Date |
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Qualifications
| Minimum Education and Experience |
- Master's degree or Ph.D. in Data Science, Computer Science, Statistics, Applied Mathematics, or a closely related field.
- Demonstrated expertise in applied data science methods and tools.
- Experience teaching or training diverse audiences in data science or computational skills.
- Strong communication skills and ability to work across disciplinary boundaries.
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| Certifications/Licenses |
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| Required Knowledge, Skills, and Abilities |
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| Preferred Qualifications |
- Experience working with grant-funded research institutes or centers.
- Experience designing short-form or intensive training programs or workshops.
- Background in community-engaged research, public-interest technology, or socially responsible data science.
- Experience in industry, government, nonprofit, or applied research settings.
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| Equipment Utilized |
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| Physical Demands and Work Environment |
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| Overview |
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| Statement |
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Posting Details
| Special Instructions to Applicants |
Applicants should submit a cover letter, curriculum vitae, and contact information for three references. |
| Quick Link to Posting |
https://jobs.rutgers.edu/postings/270422 |
| Campus |
Rutgers University-Newark |
| Home Location Campus |
Rutgers University-Newark |
| City |
Newark |
| State |
NJ |
| Location Details |
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Pre-employment Screenings
All offers of employment are contingent upon successful completion of all pre-employment screenings. Immunization Requirements
Under Policy 100.3.1 Immunization Policy for Covered Individuals, if employment will commence during Flu Season, Rutgers University may require certain prospective employees to provide proof that they are vaccinated against Seasonal Influenza for the current Flu Season, unless the University has granted the individual a medical or religious exemption. Additional infection control and safety policies may apply. Prospective employees should speak with their hiring manager to determine which policies apply to the role or position for which they are applying. Failure to provide proof of vaccination for any required vaccines or obtain a medical or religious exemption from the University will result in rescission of a candidate's offer of employment or disciplinary action up to and including termination. Equal Employment Opportunity Statement
It is university policy to provide equal employment opportunity to all its employees and applicants for employment regardless of their race, creed, color, national origin, age, ancestry, nationality, marital or domestic partnership or civil union status, sex, pregnancy, gender identity or expression, disability status, liability for military service, protected veteran status, affectional or sexual orientation, atypical cellular or blood trait, genetic information (including the refusal to submit to genetic testing), or any other category protected by law. As an institution, we encourage all qualified applicants to apply. For additional information please see the Non-Discrimination Statement at the following web address: http://uhr.rutgers.edu/non-discrimination-statement |
Rutgers University
life insurance, employee discount
Mar 09, 2026