BETA
Updated: Mar 2
BETA
Updated: Mar 2
Evolving
Last Update: 2/17/2026
Your role’s AI Resilience Score is
48.2%
Median Score
Changing Fast
Evolving
Stable
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.
What does this resilience result mean?
These roles are shifting as AI becomes part of everyday workflows. Expect new responsibilities and new opportunities.
AI Resilience Report for
Molecular and Cellular Biologists
They study tiny parts of living things to understand how they work, helping to solve medical and scientific problems.
This role is evolving
The career of a Molecular and Cellular Biologist is labeled as "Evolving" because while AI and robots are increasingly handling routine tasks like pipetting and data entry, human scientists are essential for designing experiments and making important decisions. These technologies are helping labs work faster and more accurately, but they can't replace the creativity and teamwork needed to guide research.
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View analysisChat with CoachLatest newsMore career infoAnalysisChatNewsMoreThis role is evolving
The career of a Molecular and Cellular Biologist is labeled as "Evolving" because while AI and robots are increasingly handling routine tasks like pipetting and data entry, human scientists are essential for designing experiments and making important decisions. These technologies are helping labs work faster and more accurately, but they can't replace the creativity and teamwork needed to guide research.
Read full analysisContributing Sources
We aggregate scores from multiple models and supplement with employment projections for a more accurate picture of this occupation’s resilience. Expand to view all sources.
AI Resilience
AI Resilience Model v1.0
AI Task Resilience
Evolving48.0%
48.0%
Anthropic's Economic Index
AI Resilience
Changing fast25.7%
25.7%
Will Robots Take My Job
Automation Resilience
Stable86.1%
86.1%
Medium Demand
Labor Market Outlook
We use BLS employment projections to complement the AI-focused assessments from other sources.
Learn about this scoreGrowth Rate (2024-34):
1.2%
Growth Percentile:
33.3%
Annual Openings:
4,800
Annual Openings Pct:
38.7%
Analysis of Current AI Resilience
Molecular & Cellular Biologists
Updated Quarterly • Last Update: 2/17/2026
What's changing and what's not
Many routine lab tasks in molecular biology are already helped by machines. For example, large labs often use robotic pipetting and automated instruments for experiments like DNA sequencing or chromatography [1]. These robots can handle repetitive steps (like pipetting tiny samples) much faster than a person.
Similarly, electronic lab notebooks and data systems are replacing paper records in many labs [2]. Instead of writing down every detail by hand, scientists use software to log results and even link data directly from instruments to databases. AI and software tools can also help with data analysis – for instance, researchers built an easy AutoML platform so scientists can analyze DNA or protein data without being coding experts [3].
Still, many core parts of the job need people. Tasks like designing new experiments, talking with other scientists about the next steps, choosing novel techniques, or teaching team members require creativity, judgment, and teamwork. No AI today replaces a scientist’s experience on those tasks.
In short, today the field is partially automated – machines take over repetitive technical chores, but human biologists still guide the research and interpret results [1] [3].
Sources
AI in the real world
Automation tools are available but labs adopt them carefully. Commercial systems (robots, smart software) exist from big companies, but they often cost a lot of money up front. Many labs (especially small or academic groups) must weigh equipment costs against budgets and skilled staff salaries.
High-throughput labs with many samples see big time savings (so they invest in robots), but smaller labs may use simpler equipment or semi-automated tools instead. Over time, the faster results and better accuracy of automation can save money and speed discovery, which encourages adoption [1].
Social and ethical issues are less of a barrier here than in other fields – scientists generally trust well-tested instruments. However, training researchers to use new AI tools can take time, and many still prefer humans to check critical results. In summary, AI and robots are helping molecular biologists work faster on routine steps, but labs move at a measured pace: they balance costs, training, and the fact that human insight is still needed to design experiments and interpret data [3] [2].
Sources
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More Career Info
Career: Molecular and Cellular Biologists
Parent Careers
Similar Careers
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
Coordinate molecular or cellular research activities with scientists specializing in other fields.
3
Evaluate new technologies to enhance or complement current research.
4
Evaluate new supplies and equipment to ensure operability in specific laboratory settings.
5
Develop guidelines for procedures such as the management of viruses.
6
Develop assays that monitor cell characteristics.
7
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...
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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