Career Overview

Faculty and research professionals work at colleges and universities, splitting their time between teaching courses, conducting original research, publishing scholarly work, and contributing to their academic institution and discipline. They typically hold a doctoral degree and specialize in a specific field, whether it's biology, economics, literature, or engineering, pursuing questions that expand the boundaries of what is known and mentoring students along the way.

Salary Range (US, estimates)

Key Statistics

Education Paths

• Required minimum: Master's Degree — Minimum for community college or adjunct instructor roles in some fields.
• Most common: Ph.D. in Field of Study — Standard credential for tenure-track and research university faculty positions.
• Accelerator: Postdoctoral Fellowship & Publications — Strong publication record and postdoc experience significantly boost competitiveness for tenure-track hiring.

Core Skills

• Research design and methodology
• Grant writing and fundraising
• Public speaking and lecturing
• Peer-reviewed publishing
• Mentorship and advising
• Critical thinking and analysis

Pros

• Intellectual freedom to pursue personal research interests
• Opportunity to shape future generations through teaching and mentorship
• Flexible schedule outside of teaching commitments
• Prestige and recognition within academic and professional communities

Cons

• Long path to tenure with significant job insecurity beforehand
• Intense pressure to publish and secure funding ('publish or perish')
• Relatively low pay compared to private-sector roles requiring similar expertise
• Heavy administrative and service workload beyond teaching and research

AI Impact on This Career

AI is transforming how faculty prepare course materials, grade assignments, and conduct literature reviews, but the core roles of mentoring students, generating original research insights, and providing academic leadership remain deeply human. Faculty who leverage AI as a research and teaching tool will gain significant productivity advantages over those who resist adoption.

Automation exposure: Routine grading of objective assessments, literature summarization, basic data analysis, drafting initial research abstracts, generating quiz questions, transcription of lectures, and administrative scheduling tasks are increasingly automatable.

The human edge: Original hypothesis generation, mentorship and advising relationships, ethical judgment in research design, navigating academic politics and funding relationships, inspiring critical thinking in students, and synthesizing interdisciplinary insight into novel theoretical frameworks remain firmly human domains.

Figures are estimates for exploration — verify current data with BLS.gov.