Department of Applied Data Science Lecturer Pool

San Jose State University; San Jose (CA); On-site; USD 61,458 - 115,472; Full time

Job summary

San Jose State University in San Jose, CA, seeks lecturers for the Department of Applied Data Science to teach courses and support student learning. You will work within the department's guidelines to ensure effective instruction and maintain office hours in line with university policy.

Faculty organize courses in Canvas LMS and deliver them across asynchronous, synchronous, bi-chronous, in-person, or hybrid modalities, while fostering inclusive teaching practices for a diverse student

Qualifications

• Ph.D. or Master’s degree with at least 5 years of significant and relevant professional experience in a STEM field.
• Knowledge of the subject matter of Data Science and Analytics.
• Evidence of satisfactory achievement in previous academic work.
• Demonstrated awareness of and sensitivity to the educational goals of a multicultural population.

Responsibilities

• Teach courses effectively and maintain appropriate office hours in accordance with University Policy.
• Cooperate with the department in the peer-review process and seek guidance from the Department Chair for clarity on policies and practices.
• Organize classes within the Canvas LMS and ensure courses are offered and meet during the semester in the assigned mode (asynchronous, synchronous, bi-chronous, in-person, or hybrid).
• Be mindful of diverse student backgrounds and incorporate inclusive materials and teaching strategies.

Education

Ph.D. or Master’s degree with at least 5 years of significant and relevant professional experience in a STEM field.

Job description

Department Summary

The Department of Applied Data Science offers academic programs to address emerging workforce demands for interdisciplinary talent designing and deploying intelligent solutions to real‑world data challenges. Students acquire a comprehensive understanding of the principles, methodologies, and technologies of data science. The department continuously seeks guidance from leading data professionals and companies to ensure that the curriculum remains relevant for growing talent in the Silicon Valley region.

Brief Description of Duties

Lecturers are expected to teach their courses effectively, maintain appropriate office hours in accordance with University Policy, and cooperate with the department in the peer‑review process. Lecturers are strongly encouraged to seek guidance from the Department Chair for clarification of University policies and department practices with respect to grading, testing, textbooks, office hours, curriculum goals, disability accommodations, academic integrity, etc.

All faculty must organize their classes within the Canvas Learning Management System (LMS) and ensure that all courses are offered and meet as scheduled throughout the entire semester or term in the mode assigned (asynchronous, synchronous, bi‑chronous, in‑person, or hybrid). Faculty shall also be mindful of a student population of diverse cultural, economic, and linguistic backgrounds, and must incorporate inclusive course materials, teaching strategies, and advisement.

Required Qualifications

• A Ph.D. or Master’s degree with at least 5 years of significant and relevant professional experience in a STEM field.
• Knowledge of the subject matter of Data Science and Analytics.
• Evidence of satisfactory achievement in previous academic work.
• Demonstrated awareness of and sensitivity to the educational goals of a multicultural population.

Conditional Appointment

Appointment is contingent upon budget and enrollment considerations and is subject to the order of assignment provisions in the collective bargaining agreement between California State University and the California Faculty Association. The “Order of Work” dictates that courses must first be assigned to tenure‑line faculty, followed by new lecturer appointees.

Compensation

Compensation and salary placement are based on qualifications and experience. Anticipated starting salary (monthly, full‑time academic year) is as follows:

• L‑A / Range 2 – $5,507 – $5,959
• L‑B / Range 3 – $6,221 – $7,481
• L‑C / Range 4 – $6,825 – $9,431
• L‑D / Range 5 – $8,593 – $10,347

Application Procedure

This is a continuing open position.

• CV
• Cover Letter
• Statement of Expertise, including professional experience and courses you are qualified to teach
• List of References

Employment Conditions

Faculty must complete CSU employee training as required, including prevention of discrimination and harassment, gender equity and Title IX, and health and safety. Faculty in this position will be subject to ongoing review for designation as a Campus Security Authority (CSA) under the Jeanne Clery Disclosure of Campus Security Policy and the Campus Crime Statistics Act. Campus Security Authorities must report Clery incidents immediately and complete required Clery Act training.

Conditional Offer

Employment is contingent upon U.S. residence and proof of eligibility to work in the United States. Offers are conditional and may be rescinded if background checks reveal disqualifying information or if it is discovered that the applicant knowingly withheld or falsified information. Failure to satisfy the background check may affect continued employment.

Equal Employment Statement

San Jose State University prohibits discrimination on the basis of Age, Ancestry, Caste, Color, Disability, Ethnicity, Gender, Gender Expression, Gender Identity, Genetic Information, Marital Status, Medical Condition, Military Status, Nationality, Race, Religion, Religious Creed, Sex, Sexual Orientation, Sex Stereotype, and Veteran Status. This policy applies to all San Jose State University students, faculty, and staff as well as University programs and activities. Reasonable accommodations are made for applicants with disabilities who self‑disclose. All San Jose State University employees are mandated reporters under the California Child Abuse and Neglect Reporting Act and are required to comply with CSU Executive Order 1083 as a condition of employment.