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Biological Science Teachers Postsecondary

Educational Instruction and Library Occupations
Nov 11
MODERATE

What They Do

Teach courses in biological sciences. Includes both teachers primarily engaged in teaching and those who do a combination of teaching and research.

AI Impact Overview

Artificial intelligence is poised to significantly impact postsecondary biological science teaching roles, primarily by automating administrative and repetitive instructional tasks, while the occupation’s core duties involving mentorship, research leadership, and scientific creativity remain less susceptible to automation.

AI Analysis

Detailed Analysis

AI technologies will streamline content delivery, grading, and data analysis but are unlikely to fully replace the role of experienced biological science teachers, especially those engaged in research and academic service. As educators incorporate AI tools, pedagogical roles will shift towards facilitation, supervision, and innovative research integration. Junior-level instructors may see greater task automation than their mid- and senior-level peers, but demand for critical thinking, ethics education, and original research skillsets is expected to keep human expertise essential.

Opportunity

"By becoming adept at integrating emerging technologies and focusing on AI-resistant skills, biological science teachers can enhance their professional value and expand into new educational leadership roles."

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AI Risk Assessment

Risk level varies by experience level

J

Junior Level

HIGH

Greater exposure to automation in grading, lecture delivery, and basic curriculum development due to reliance on standardized tasks. Early-career positions, adjuncts, and non-tenure-track faculty may face job competition from AI-powered platforms.

M

Mid-level

MODERATE

Core responsibilities such as curriculum design, mentorship, and advanced research integration offer protection from full automation. Staying updated on AI tools and course design can buffer risk.

S

Senior Level

LOW

Senior educators are less vulnerable due to their leadership in research, graduate supervision, grant writing, and institutional service, all of which require complex judgment, innovation, and human interaction.

AI-Driven Job Forecasts

2 Years

Near-term Outlook

Job Outlook

AI will supplement instructional and assessment processes, improving efficiency but not significantly reducing headcount. Faculty with AI literacy and adaptability will be favored.

Transition Strategy

Pursue professional development in AI and digital pedagogy; experiment with integrating AI-based tools for grading and formative assessment; collaborate with tech-savvy colleagues on hybrid courses.

5 Years

Medium-term Impact

Job Outlook

Integration of AI in research and teaching increases, shifting instructors’ roles further toward facilitation and supervision. Demand for interdisciplinary skills rises, and course delivery becomes more centralized within institutions.

Transition Strategy

Advance into leadership or cross-disciplinary research roles; pursue formal certifications in learning design, AI for education, or bioinformatics; mentor colleagues and students in ethics and critical thinking.

7+ Years

Long-term Vision

Job Outlook

Systematic reliance on AI reshapes roles; fewer repetitive teaching positions but higher demand for educators who design, oversee, and ethically integrate AI. Nontraditional and lifelong learning markets expand. Research leadership, cross-institutional projects, and policy involvement become more prominent.

Transition Strategy

Diversify skills into educational leadership, policy, or industry roles; co-author AI-augmented open resources; spearhead institutional AI-ethics committees; actively participate in industry-academia partnerships.

Industry Trends

AI Augmented Assessment

Impact:

Routine grading and feedback are increasingly automated; educators focus on higher-order evaluation.

Emphasis on Ethics and AI Governance

Impact:

Greater demand for educators who can address AI ethics and responsible research conduct.

Expansion of Online and Hybrid Learning

Impact:

Increasing need for digital content creation and remote teaching skills; reduction of purely in-person teaching roles.

Focus on Student Engagement and Personalized Learning

Impact:

AI tools enable tailored learning paths, requiring new pedagogical strategies.

Growing Importance of Scientific Communication

Impact:

Faculty expected to communicate science to broader audiences, policymakers, and the media.

IndustryAcademia Partnerships

Impact:

Blurring boundaries between academic and private sector roles for research, mentorship, and education delivery.

Interdisciplinary STEM Programs

Impact:

Biology is integrated with data science, engineering, and policy; faculty must upskill accordingly.

Internationalization of Higher Ed

Impact:

More global collaboration; competition and diverse educational models require adaptive teaching skills.

Lifelong Learning and Microcredentialing

Impact:

Faculty to design flexible, modular courses suited to working professionals and adult learners.

Open Science and Data Sharing

Impact:

Research and teaching increasingly require open data management and collaboration with global peers.

AI-Resistant Skills

Ethical Decision Making in Research

NIH Bioethics Resources
Skills Type:
Ethics, Governance
Learn More
Score:10/10

Effective Science Communication

AAAS Center for Public Engagement
Skills Type:
Communication, Outreach
Learn More
Score:10/10

Research Grant Writing

NIH Grants & Funding
Skills Type:
Technical Writing, Strategy
Learn More
Score:9/10

Alternative Career Paths

📚

Educational Technology Specialist

Advise schools on implementing and optimizing educational technologies in classrooms.

Relevance: Experience in pedagogy and willingness to adopt EdTech tools is valuable.

💻

Science Policy Analyst

Advise on and develop policies related to scientific research, public health, and emerging technology.

Relevance: Expertise in science, communication, and policy analysis is highly sought after.

💻

Bioinformatics Analyst

Combines biological knowledge with data science to analyze scientific data sets.

Relevance: Combines biological knowledge with data analysis/AI skills.

Emerging AI Tools Tracker

ChatGPT for Educators
Assists teachers in generating materials, answering questions, and brainstorming lesson ideas.
IMPACT:
8/10
ADOPTION:
Ongoing adoption and development
Growing among digital educators
Turnitin AI Detection
Detects plagiarism and AI-generated assignments in student submissions.
IMPACT:
8/10
ADOPTION:
Current
Widely implemented in higher education.
Gradescope
Automates and streamlines grading for assignments and exams, leveraging machine learning.
IMPACT:
7/10
ADOPTION:
Current
High among universities

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