Bioinformatics Scientists
of tasks in the Bioinformatics Scientists role are ones AI can already do, per AI experts.
From a Stanford study where AI experts and bioinformatics scientists workers rated each real task (O*NET). Not a guess from the job title.
Key statistics
Free to cite, with a link back to Automatable.
- AI can already do 86% of the 7 work tasks in the Bioinformatics Scientists role, according to AI experts in the Stanford WORKBank study (O*NET SOC 19-1029.01).
- Workers in the Bioinformatics Scientists role want about 71% of their tasks automated (Stanford WORKBank, 1,500 U.S. workers).
- 5 of 7 Bioinformatics Scientists tasks are Automation Green Light, wanted by workers and do-able by AI, that is 71% of the role (Stanford WORKBank).
- The typical Bioinformatics Scientists task scores 3.41/5 for worker desire to automate and 3.71/5 for AI capability today (Stanford WORKBank, 1-5 scale).
Top tasks to automate
Best fit for today’s tools first. Open one for the how-to and the tools to use.
- 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.
- Develop new software applications or customize existing applications to meet specific scientific project needs.
- Create or modify web-based bioinformatics tools.
- Create novel computational approaches and analytical tools as required by research goals.
Start automating
The quickest way to take these tasks off your plate:
Rather have it set up for you?
Leave your email and we’ll connect you with someone who automates Bioinformatics Scientists work.
What workers told Stanford
Of the 7 tasks studied for Bioinformatics Scientists, 5 (71%) are in the Automation Green Light zone, AI can largely do them and workers want it. Across all tasks, workers want about 71% automated. The typical task scores 3.41/5 for worker desire and 3.71/5 for AI capability.
All 7 tasks, most-wanted first
Manipulate publicly accessible, commercial, or proprietary genomic, proteomic, or post-genomic databases.
Green Lightwant 4.17 · AI 3.5Compile data for use in activities, such as gene expression profiling, genome annotation, or structural bioinformatics.
Green Lightwant 4 · AI 4Create or modify web-based bioinformatics tools.
Green Lightwant 3.75 · AI 3.67Develop new software applications or customize existing applications to meet specific scientific project needs.
Green Lightwant 3.6 · AI 4Create novel computational approaches and analytical tools as required by research goals.
Green Lightwant 3 · AI 4Analyze large molecular datasets, such as raw microarray data, genomic sequence data, or proteomics data, for clinical or basic research purposes.
Red Lightwant 2.83 · AI 3.5Instruct others in the selection and use of bioinformatics tools.
Low Prioritywant 2.5 · AI 3.33
Related occupations
Roles from the Stanford WORKBank study with the closest AI-capability share to Bioinformatics Scientists.
- Social Science Research AssistantsAI can do 80% of tasks today · workers want 80% automated
- GeographersAI can do 50% of tasks today · workers want 25% automated
- Quality Control AnalystsAI can do 38% of tasks today · workers want 75% automated
- Accountants and AuditorsAI can do 86% of tasks today · workers want 29% automated
- PhotographersAI can do 86% of tasks today · workers want 43% automated
- Search Marketing StrategistsAI can do 86% of tasks today · workers want 100% automated
Lower-automation alternatives
Less of these jobs is automatable today: AI experts rate a smaller share of their tasks as doable than the 86% for Bioinformatics Scientists (Stanford WORKBank).