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.
How AI Impacts Each Task
20 tasks analyzed
Develop new software applications or customize existing applications to meet specific scientific project needs.
Communicate research results through conference presentations, scientific publications, or project reports.
Create novel computational approaches and analytical tools as required by research goals.
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.
Design and apply bioinformatics algorithms including unsupervised and supervised machine learning, dynamic programming, or graphic algorithms.
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.
Improve user interfaces to bioinformatics software and databases.
Create or modify web-based bioinformatics tools.
Confer with departments, such as marketing, business development, or operations, to coordinate product development or improvement.
Recommend new systems and processes to improve operations.
Instruct others in the selection and use of bioinformatics tools.
Collaborate with software developers in the development and modification of commercial bioinformatics software.
Test new and updated bioinformatics tools and software.
Prepare summary statistics of information regarding human genomes.
| Task | AI Capability | Risk | Time % | |
|---|---|---|---|---|
| Develop new software applications or customize existing applications to meet specific scientific project needs. | 65.22Observed | 53.1% | 8% | |
| Communicate research results through conference presentations, scientific publications, or project reports. | 63.02Observed | 40.2% | 6% | |
| Create novel computational approaches and analytical tools as required by research goals. | 55Estimated | 49.0% | 8% | |
| Consult with researchers to analyze problems, recommend technology-based solutions, or determine computational strategies. | 67.42Observed | 42.0% | 7% | |
| Analyze large molecular datasets, such as raw microarray data, genomic sequence data, or proteomics data, for clinical or basic research purposes. | 63.9Observed | 52.6% | 10% | |
| Keep abreast of new biochemistries, instrumentation, or software by reading scientific literature and attending professional conferences. | 65Estimated | 53.0% | 5% | |
| Develop data models and databases. | 63.45Observed | 52.4% | 6% | |
| Compile data for use in activities, such as gene expression profiling, genome annotation, or structural bioinformatics. | 50.3Observed | 69.3% | 5% | |
| Design and apply bioinformatics algorithms including unsupervised and supervised machine learning, dynamic programming, or graphic algorithms. | 54.7Observed | 48.9% | 8% | |
| Manipulate publicly accessible, commercial, or proprietary genomic, proteomic, or post-genomic databases. | 61.32Observed | 73.7% | 5% | |
| Direct the work of technicians and information technology staff applying bioinformatics tools or applications in areas such as proteomics, transcriptomics, metabolomics, or clinical bioinformatics. | 20Estimated | 23.0% | 5% | |
| Provide statistical and computational tools for biologically based activities, such as genetic analysis, measurement of gene expression, or gene function determination. | 55.65Observed | 49.3% | 5% | |
| Improve user interfaces to bioinformatics software and databases. | 70Estimated | 55.0% | 3% | |
| Create or modify web-based bioinformatics tools. | 56.65Observed | 49.7% | 4% | |
| Confer with departments, such as marketing, business development, or operations, to coordinate product development or improvement. | 54.4Observed | 36.8% | 3% | |
| Recommend new systems and processes to improve operations. | 68.6Observed | 54.4% | 2% | |
| Instruct others in the selection and use of bioinformatics tools. | 59.65Observed | 38.9% | 3% | |
| Collaborate with software developers in the development and modification of commercial bioinformatics software. | 35Estimated | 29.0% | 3% | |
| Test new and updated bioinformatics tools and software. | 45.45Observed | 67.4% | 2% | |
| Prepare summary statistics of information regarding human genomes. | 52.88Observed | 70.4% | 2% |
Skill Impact Analysis
AI-Vulnerable Skills (6)
High reliance on Mathematics is a risk area. Consider developing complementary AI-resistant skills to maintain value.
High reliance on Reading Comprehension is a risk area. Consider developing complementary AI-resistant skills to maintain value.
High reliance on Information Ordering is a risk area. Consider developing complementary AI-resistant skills to maintain value.
High reliance on Mathematics is a risk area. Consider developing complementary AI-resistant skills to maintain value.
High reliance on Memorization is a risk area. Consider developing complementary AI-resistant skills to maintain value.
Programming is AI-vulnerable but has moderate importance in this role. AI tools may handle this; focus on higher-value skills.
AI-Resistant Skills (11)
Adaptability/Flexibility is AI-resistant — strengthening this skill provides durable career protection.
Complex Problem Solving is AI-resistant — strengthening this skill provides durable career protection.
Leadership is AI-resistant — strengthening this skill provides durable career protection.
Social Perceptiveness is AI-resistant — strengthening this skill provides durable career protection.
Coordination is AI-resistant — strengthening this skill provides durable career protection.
Instructing is AI-resistant — strengthening this skill provides durable career protection.
Persuasion is AI-resistant — strengthening this skill provides durable career protection.
Service Orientation is AI-resistant — strengthening this skill provides durable career protection.
Recommended Courses
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Education & Training
Percentage of workers at each education and training level
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Related News
Recent articles about AI affecting this occupation
Pfizer and Lilly back new AI drug discovery startup
Pharmaceutical giants Eli Lilly and Pfizer are investing heavily in a new AI-driven drug discovery startup. The move highlights a massive shift in biotech, where algorithms are increasingly doing the heavy lifting.
Computational tools are reshaping the daily tasks of research scientists.
Early-stage biological research is increasingly shifting from physical lab work to computer-based modeling. This transition requires scientists to blend traditional bench skills with computational expertise before ever touching a pipette.
NY's Empire AI Project Accelerates Drug Discovery and Tech Roles
The University at Buffalo is leveraging state-backed funding to speed up pharmaceutical research. The project promises long-term economic and workforce benefits for New York's tech sector.
AI Accelerates Pharma Research, Shifting Drug Discovery Roles
Researchers are deploying machine learning to rapidly identify affordable treatments for conditions like Motor Neurone Disease. This technological shift means pharmaceutical roles will increasingly require data analysis skills alongside biology.
Novo Nordisk Expands India Workforce for AI Drug Launches
Novo Nordisk is expanding its workforce in India to support new AI-driven drug launch initiatives. The pharmaceutical giant is leveraging artificial intelligence to accelerate rollouts, creating new tech-focused roles in the region.
Last scored March 14, 2026 · Based on BLS employment data and O*NET task analysis