Not Very Resilient
Last Update: 6/19/2026
AI Resilience Score for Bioinformatics Tech:
32.9%
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.
Low
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%).
Low
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 forBioinformatics Technicians
$71,490 median salary•300 annual openings•SOC Code: 15-2099.01
Bioinformatics Technicians are less resilient to AI impacts than most occupations, according to our analysis of 5 sources.
Bioinformatics Technicians are labeled "Not Very Resilient" because the core tasks of this job, like organizing biological data, querying databases, writing scripts, and analyzing results, are exactly the kinds of repetitive, pattern-based work that AI is best at automating right now. Major research institutions and pharma companies are already shifting these routine data processing and workflow tasks onto AI tools, partly because the economics make sense when technician salaries are high and AI can handle the repetitive parts faster and cheaper.
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Bioinformatics Technicians are labeled "Not Very Resilient" because the core tasks of this job, like organizing biological data, querying databases, writing scripts, and analyzing results, are exactly the kinds of repetitive, pattern-based work that AI is best at automating right now. Major research institutions and pharma companies are already shifting these routine data processing and workflow tasks onto AI tools, partly because the economics make sense when technician salaries are high and AI can handle the repetitive parts faster and cheaper.
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View analysisChat with CoachLatest newsMore career infoAnalysisChatNewsMoreAnalysis of Current AI Resilience
Bioinformatics Tech
Updated Quarterly
How is AI changing Bioinformatics Tech jobs?
Bioinformatics work — organizing biological data, querying databases, writing scripts, and analyzing results — is exactly the kind of task today's AI is targeting fastest. A March 2026 review in Briefings in Bioinformatics [1] describes how large language model "agents" can now plan, invoke external tools, remember context, and self-correct across genomics, proteomics, and automated bioinformatics workflows, with more than 60 such systems already emerging. Nature reported in February 2026 that "data-analysis and modelling positions are already becoming obsolete, but hands-on experimentalists can breathe easy for now." [2] Anthropic's labor-market study found that occupations centered on reading documents and entering data — close cousins of bioinformatics database work — are among the most heavily "covered" by AI usage so far [3].
At the same time, this still looks more like augmentation: the Briefings review flags "unstable reasoning, limited biological grounding, retrieval misalignment, and barriers to reproducibility and biosafety" [1] as persistent problems, meaning humans are still needed to check and curate the AI's output.
Sources
How fast is AI adoption growing for Bioinformatics Tech?
Adoption is moving fast because the tools exist and the economics are obvious. Berkeley Lab's OPAL project, part of the DOE's Genesis Mission, is already building foundation models and AI agents that "manage investigations autonomously," [4] and the ASBMB 2026 annual meeting features a dedicated track on how AI, machine learning, and lab automation can drive biochemistry forward [5]. Workforce analysts note that pharma is explicitly shifting data processing, pattern detection, documentation, and workflow monitoring onto AI while people move toward experimental design and oversight [6] — a list that overlaps heavily with technician tasks.
Cost pressure helps: median bioinformatics pay in biotech/pharma is around $176K [7], so automating repeatable database and scripting work is attractive. Adoption could still be slowed by a serious skills gap — staffing firm KORE1 notes demand "has gone vertical" while the qualified ML-plus-biology talent pool stays thin [8] — and by strict regulatory, reproducibility, and biosafety standards in medicine. The hopeful takeaway for young people: technicians who learn to direct AI agents, validate their outputs, and translate biology into good prompts and pipelines are becoming more valuable, not less.
Sources
Will AI replace Bioinformatics Tech?
In part. We think AI will eventually automate a real share of this work, but the skills you build here can carry you further than this one job title.
Bioinformatics technicians sit squarely in AI's path right now. The core tasks, querying databases, writing scripts, organizing biological data, are exactly what AI agents are being built to handle. A 2026 review found more than 60 large language model systems already targeting genomics and automated bioinformatics workflows [1], and workforce analysts note that pharma is explicitly shifting data processing and pattern detection onto AI while people move toward oversight roles [6]. Our scorecard reflects that reality: a 32.9% AI Resilience Score puts this role among the more exposed occupations.
That said, AI is not clean or reliable enough to work alone yet. Problems with unstable reasoning, limited biological grounding, and reproducibility mean humans are still needed to check and correct the output [1]. Nature reported that hands-on experimentalists are safer for now [2], which points toward a real path forward.
The honest career advice: treat this role as a launchpad. Technicians who learn to direct AI agents, validate their outputs, and bridge biology with computation are becoming more valuable. Those skills translate into experimental design, regulatory science, and research roles that AI cannot easily absorb.
Sources
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Latest AI news for Bioinformatics Tech
These articles highlight the evolving landscape for Bioinformatics Technicians amid AI advancements. For instance, the CBS News article emphasizes that while some jobs may be displaced, AI creates new opportunities in fields like bioinformatics, where data analysis is crucial. The HIMSS piece showcases how AI is enhancing research and development, offering technicians the chance to work on groundbreaking treatments. Embracing AI tools will be essential for students, positioning them as indispensable contributors in a tech-driven healthcare environment. This resilience in adapting to AI ensures a promising future in bioinformatics careers.
AI in bioinformatics: from data to breakthroughs
www.himss.org • 6/20/2026
AI is revolutionizing bioinformatics —delivering unprecedented precision, slashing R&D costs, and accelerating the development of life-saving treatments ... Read more
B Tech Biotechnology with AI: Career, Salary and Future Jobs in 2026
shooliniuniversity.com • 5/20/2026
India's biotech sector needs AI-ready graduates. Discover B.Tech Biotechnology with AI — scope, salaries & admissions.
New study sheds light on what kinds of workers are losing jobs to AI
www.cbsnews.com • 8/28/2025
Stanford University research offers insights for students and young workers as artificial intelligence begins to reshape the labor market.
Opinion | How AI is impacting 700 professions — and might impact yours
www.washingtonpost.com • 7/28/2025
Companies are rushing to embrace artificial intelligence to cut costs, increase efficiency and better understand this new technology.
The biggest winners — and losers — in the coming AI job apocalypse
www.businessinsider.com • 11/1/2023
The winners of the AI revolution will be the technicians, nurses, and plumbers who keep the new economy running after the machines have taken over the office.
More Career Info
Career: Bioinformatics Technicians
They help scientists by using computers to organize and analyze biological data, like DNA, to support research and medical discoveries.
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Employment & Wage Data
Median Wage
$71,490
Jobs (2024)
5,000
Growth (2024-34)
+4.0%
Annual Openings
300
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
Train bioinformatics staff or researchers in the use of databases.
2
Participate in the preparation of reports or scientific publications.
3
Maintain awareness of new and emerging computational methods and technologies.
4
Write computer programs or scripts to be used in querying databases.
5
Extend existing software programs, web-based interactive tools, or database queries as sequence management and analysis needs evolve.
6
Analyze or manipulate bioinformatics data using software packages, statistical applications, or data mining techniques.
7
Test new or updated software or tools and provide feedback to developers.
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.
