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The AI Resilience Report helps you understand how AI is likely to impact your current or future career. Drawing on data from over 1,500 occupations, it provides a clear snapshot to support informed career decisions.
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Somewhat Resilient
Last Update: 5/19/2026
Your role’s AI Resilience Score is
39.0%
Median Score
Meaningful human contribution
Measures the parts of the occupation that still require a human touch. This score averages data from up to four AI exposure datasets, focusing on the role’s resilience against automation.
Med
Long-term employer demand
Predicts the health of the job market for this role through 2034. Using Bureau of Labor Statistics data, it balances projected annual job openings (60%) with overall employment growth (40%).
Med
Sustained economic opportunity
Measures future earning potential and career flexibility. This score is a blend of total projected labor income (67%) and the role’s inherent ability to adapt to economic and technological shifts (33%).
Med
This reflects the reliability of your score based on the number of data sources available for this career and how closely those sources agree on the outlook. A higher confidence means more consistent evidence from labor experts and AI models.
There are a reasonable number of sources for this result, but there is some disagreement between them.
Contributing sources
AI Resilience Report forMolecular and Cellular Biologists
Molecular and Cellular Biologists are somewhat less resilient to AI impacts than most occupations, according to our analysis of 5 sources.
Molecular and Cellular Biology is "Somewhat Resilient" because AI is genuinely transforming a big chunk of the work — tools like AlphaFold can now predict protein structures in minutes, and AI-powered "self-driving labs" can run experiments overnight, meaning some tasks that used to take years of human effort are being automated. That said, the career isn't disappearing — in fact, job demand is still projected to grow nearly 9% over the next decade — but the *type* of work is shifting meaningfully, and biologists who don't adapt could find themselves left behind.
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View analysisChat with CoachLatest newsMore career infoAnalysisChatNewsMoreThis role is somewhat resilient
Molecular and Cellular Biology is "Somewhat Resilient" because AI is genuinely transforming a big chunk of the work — tools like AlphaFold can now predict protein structures in minutes, and AI-powered "self-driving labs" can run experiments overnight, meaning some tasks that used to take years of human effort are being automated. That said, the career isn't disappearing — in fact, job demand is still projected to grow nearly 9% over the next decade — but the *type* of work is shifting meaningfully, and biologists who don't adapt could find themselves left behind.
Read full analysisAnalysis of Current AI Resilience
Molecular & Cellular Biologists
Updated Quarterly • Last Update: 5/14/2026
How is AI changing Molecular & Cellular Biologists jobs?
Good news first: AI in molecular and cellular biology is mostly augmenting scientists, not replacing them. Tools like AlphaFold 3 — described in a 2026 Frontiers review as having driven a transformative impact on structural biology, evolving from co-evolution models to universal molecular modeling [1] — let researchers predict 3D protein shapes in minutes instead of years. New "multi-modal" AI frameworks are also helping with interpretation: researchers at the Broad Institute and ETH Zurich built a system that pinpoints which information came from which cell parts, giving biologists a more holistic view of a cell's state to study cancer, Alzheimer's, and diabetes [2].
On the lab-bench side, "self-driving labs" use AI plus robotics to run experiments overnight, though Nature notes that AI-driven autonomous robots are coming to biology laboratories, but researchers insist that human skills remain essential [3]. The American Society for Biochemistry and Molecular Biology is so focused on this shift that its 2026 annual meeting features a deep-dive session on how AI, machine learning, and robotics drive innovation from high-throughput experimentation to large-scale data analysis [4].
Sources
How fast is AI adoption growing for Molecular & Cellular Biologists?
Adoption is moving fast in computational tasks (writing, data analysis, image interpretation, protein modeling) but more slowly at the bench. The BLS reports that scientific R&D in the physical, engineering, and life sciences is projected to grow 8.7 percent from 2024 to 2034 [5], meaning demand for biologists is still rising. Cost is a big barrier — Nature recently observed that AI bills can be as big as a postdoc salary [3], so small labs can't always afford the newest tools.
Funders are paying close attention: Schmidt Sciences is now offering grants of up to USD 200,000 to study the impact of AI on worker displacement and on scientific productivity [6]. The skills that stay valuable are the ones AI can't easily copy — asking the right scientific questions, designing creative experiments, mentoring students, and judging when results actually make biological sense. If you love biology, learning a little coding and data science alongside the wet-lab basics is the best way to ride this wave instead of being washed out by it.
Sources
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More Career Info
Career: Molecular and Cellular Biologists
They study tiny parts of living things to understand how they work, helping to solve medical and scientific problems.
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Employment & Wage Data
Median Wage
$93,330
Jobs (2024)
63,700
Growth (2024-34)
+1.2%
Annual Openings
4,800
Education
Bachelor's degree
Experience
None
Source: Bureau of Labor Statistics, Employment Projections 2024-2034
Task-Level AI Resilience Scores
AI-generated estimates of task resilience over the next 3 years
1
Supervise technical personnel and postdoctoral research fellows.
2
Evaluate new supplies and equipment to ensure operability in specific laboratory settings.
3
Participate in all levels of bioproduct development, including proposing new products, performing market analyses, designing and performing experiments, and collaborating with operations and quality c...
4
Conduct applied research aimed at improvements in areas such as disease testing, crop quality, pharmaceuticals, and the harnessing of microbes to recycle waste.
5
Perform laboratory procedures following protocols including deoxyribonucleic acid (DNA) sequencing, cloning and extraction, ribonucleic acid (RNA) purification, or gel electrophoresis.
6
Evaluate new technologies to enhance or complement current research.
7
Compile and analyze molecular or cellular experimental data and adjust experimental designs as necessary.
Tasks are ranked by their AI resilience, with the most resilient tasks shown first. Core tasks are essential functions of this occupation, while supplemental tasks provide additional context.
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