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
Courses matched to Bioinformatics Scientists skill gaps, ranked by relevance to your displacement risk profile.
Get personalized recommendations. Answer a few questions about your experience and skills to get course suggestions tailored specifically to you.
Upskill to Reduce Risk
Courses addressing your most AI-vulnerable skills
SQL Fundamentals Skill Track
by DataCamp
Estimated Impact
AI-Augmentation Tools
Learn to work alongside AI and boost your productivity
Creative Writing Specialization
by Wesleyan University
Estimated Impact
Strengthen Your Edge
Double down on skills AI can't replicate
Design Patterns in C# and .NET
by Pluralsight
Estimated Impact
We may earn a commission when you enroll through our links, at no extra cost to you. This helps fund the Takeover Tracker.
Risk reduction and salary impact are estimates based on skill gap analysis, course relevance, and labor market data. Actual results vary by individual circumstance.
Score History
Risk score over 2 scoring runs
overall change
Education & Training
Percentage of workers at each education and training level
Education Level
Prior Experience Needed
Work experience required to enter this job
Training Provided After Hiring
How long it typically takes to learn on the job
Related News
Recent articles about AI affecting this occupation
J&J Sees AI Halving the Time to Generate Drug Development Leads
Pharmaceutical giant Johnson & Johnson expects artificial intelligence to cut the early stages of drug discovery timelines by 50%. This massive efficiency gain will fundamentally shift the daily workflows of pharmaceutical researchers.
DeepMind Spinoff's AI-Designed Drugs Enter Trials, Shifting Pharma Roles
Isomorphic Labs is moving its AI-generated medicines into human testing, signaling a major shift in pharmaceutical R&D. This milestone suggests traditional drug discovery roles may rapidly evolve toward AI-assisted pipeline management.
AI Drug Discovery Boom Creates New Demand for Molecule Analysts
10x Science secured $4.8M to help pharmaceutical researchers filter through the massive volume of AI-generated molecules. This highlights a growing niche where human expertise is needed to validate and manage AI outputs rather than generate them.
Boehringer Ingelheim Opens London AI Center, Creating Pharma Tech Roles
The pharmaceutical giant is opening a dedicated AI research facility in London to accelerate drug discovery. This move creates new highly specialized roles at the intersection of artificial intelligence and biomedical science.
Biology is Becoming Data Science
Medical professionals are increasingly relying on automated systems to analyze massive biological datasets. This shift allows faster, cheaper medical solutions but changes the daily tasks of researchers from data crunching to strategic oversight.
Last scored March 14, 2026 · Based on BLS employment data and O*NET task analysis