Adjunct Professor of Data Science - PhD Chair

About this position

Position Description

• The Dissertation Chair in the PhD in Applied Data Science program
• guides doctoral candidates through applied empirical research,
• leading committee oversight and ensuring methodological rigor from
• initial proposal through final defense. This is a part-time,
• adjunct faculty position in SMCS. This position is fully
• remote.

Position Responsibilities

• Faith-Grounded Mentorship & Care: Integrate Christian faith and servant leadership into dissertation supervision by modeling grace, patience, and intentional care, fostering a growth-minded, supportive learning environment tailored to working adult learners.
• Research & Writing Mentorship: Provide structured, actionable feedback on student drafts via collaborative digital tools (e.g., Google Docs), strictly adhering to a one-week turnaround to maintain momentum.
• Committee Leadership: Help students assemble a qualified doctoral committee consisting of the Chair, at least one additional Eastern University faculty or staff member, and an optional external subject-matter expert.
• Ethical & Methodological Governance: Ensure research designs adhere to quantitative, qualitative, or mixed-methods rigor, and mandate that any project involving human subjects completes Institutional Review Board (IRB) approval prior to data collection.
• Academic Guidance: Demonstrate intentional care, empathy, and patience throughout the dissertation journey, fostering an encouraging, supportive learning environment tailored to working professionals.

Qualifications

• Candidates must have a commitment to excellent teaching in a Christian context.
• Education: An earned doctoral degree (PhD or equivalent) in Data Science, Computer Science, Statistics, Analytics, or a closely aligned field.
• Experience: Demonstrated track record of scholarly research, industry practice, or doctoral-level instruction and advising.
• Skills: Expertise in empirical research methodologies, strong written critique capabilities, and familiarity with online/hybrid doctoral mentoring.