Science & ResearchO*NET: 19-1029.01
Will AI Replace Bioinformatics Scientists?
Conduct research using bioinformatics theory and methods in areas such as pharmaceuticals, medical technology, biotechnology, computational biology, proteomics, computer information science, biology and medical informatics. May design databases and develop algorithms for processing and analyzing genomic information, or other biological information.
41out of 100
Medium Risk
AI Risk Score
41/100
Risk Level
Medium
Job Zone
5/5
Advanced
Total Tasks Analyzed
13
🤖 What AI Can Do
- â–¸Develop new software applications or customize existing applications to meet specific scientific project needs.
- â–¸Consult with researchers to analyze problems, recommend technology-based solutions, or determine computational strategies.
- â–¸Analyze large molecular datasets, such as raw microarray data, genomic sequence data, or proteomics data, for clinical or basic research purposes.
- â–¸Keep abreast of new biochemistries, instrumentation, or software by reading scientific literature and attending professional conferences.
- â–¸Develop data models and databases.
- â–¸Compile data for use in activities, such as gene expression profiling, genome annotation, or structural bioinformatics.
👤 What Requires Humans
- â–¸Providing empathy and emotional support
- â–¸Creative problem-solving in ambiguous contexts
- â–¸Physical tasks requiring fine motor skills and dexterity
Task Breakdown
🤖AI Can Automate (10)
- Develop new software applications or customize existing applications to meet specific scientific project needs.
- Consult with researchers to analyze problems, recommend technology-based solutions, or determine computational strategies.
- Analyze large molecular datasets, such as raw microarray data, genomic sequence data, or proteomics data, for clinical or basic research purposes.
- Keep abreast of new biochemistries, instrumentation, or software by reading scientific literature and attending professional conferences.
- Develop data models and databases.
- Compile data for use in activities, such as gene expression profiling, genome annotation, or structural bioinformatics.
- Manipulate publicly accessible, commercial, or proprietary genomic, proteomic, or post-genomic databases.
- Direct the work of technicians and information technology staff applying bioinformatics tools or applications in areas such as proteomics, transcriptomics, metabolomics, or clinical bioinformatics.
- Provide statistical and computational tools for biologically based activities, such as genetic analysis, measurement of gene expression, or gene function determination.
- Create or modify web-based bioinformatics tools.
âš¡AI-Assisted (3)
- Communicate research results through conference presentations, scientific publications, or project reports.
- Create novel computational approaches and analytical tools as required by research goals.
- Design and apply bioinformatics algorithms including unsupervised and supervised machine learning, dynamic programming, or graphic algorithms.
Key Skills Analysis
Reading ComprehensionAI-Vulnerable
Importance: 4.12/5.00
Critical ThinkingAI-Resistant
Importance: 4.12/5.00
Active Listening
Importance: 4.00/5.00
Speaking
Importance: 4.00/5.00
Complex Problem SolvingAI-Resistant
Importance: 4.00/5.00
WritingAI-Vulnerable
Importance: 3.88/5.00
Science
Importance: 3.75/5.00
Active LearningAI-Resistant
Importance: 3.62/5.00
Judgment and Decision MakingAI-Resistant
Importance: 3.62/5.00
MathematicsAI-Vulnerable
Importance: 3.50/5.00
Monitoring
Importance: 3.38/5.00
Time ManagementAI-Resistant
Importance: 3.38/5.00
Social PerceptivenessAI-Resistant
Importance: 3.25/5.00
Systems AnalysisAI-Vulnerable
Importance: 3.25/5.00
Systems Evaluation
Importance: 3.25/5.00
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Frequently Asked Questions
Based on our analysis, Bioinformatics Scientists have a medium risk of AI replacement with a score of 41/100. While some tasks can be assisted by AI, the core responsibilities require human judgment and skills.
Last updated: 2026-03-28· Data from O*NET 30.2 & Frey/Osborne automation research