संरक्षण जीवविज्ञानी
जीवन, भौतिक और सामाजिक विज्ञानAI एक्सपोजर
- डेटा स्रोत: BLSप्रकाशन: 2026-08
बहुत उच्च· सापेक्ष
कमचार सापेक्ष श्रेणियाँबहुत उच्चव्यवसाय-समूह स्तर का मान
मापक्रम, आधार और स्रोत
चार सापेक्ष बैंड (कम / मध्यम / उच्च / बहुत उच्च)
BLS रोज़गार पूर्वानुमान तालिका के 831 विस्तृत व्यवसायों के आधार पर। मान NEM (नेशनल एम्प्लॉयमेंट मैट्रिक्स) कोड के स्तर पर दिया जाता है, इसलिए एक ही NEM कोड वाले व्यवसायों को वही बैंड मिलता है
- डेटा स्रोत: Anthropicप्रकाशन: 2026-03
0.245
0.000यहाँ दिए गए मानों की सीमा0.745मापक्रम, आधार और स्रोत
- डेटा स्रोत: ILOप्रकाशन: 2025
0.40
0.09यहाँ दिए गए मानों की सीमा0.70व्यवसाय-समूह स्तर का मान
मापक्रम, आधार और स्रोत
जेनरेटिव AI एक्सपोजर सूचकांक, प्रकाशित रूप में 0–1
ISCO-08 यूनिट समूह — समान कोड वाले सभी व्यवसायों को यही मान मिलता है
यह इस साइट की गणना है, ILO द्वारा प्रकाशित आँकड़ा नहीं: इस साइट द्वारा ILO डेटासेट से जोड़े गए 1,012 व्यवसायों में से 39% इस मान के बराबर या उससे अधिक हैं।
यह स्रोत किस प्रकार का आँकड़ा प्रकाशित करता है
BLS की श्रेणी सापेक्ष रैंक है, निरपेक्ष स्तर नहीं, और यह प्रथम-हस्त माप भी नहीं है: यह कई प्रकाशित अध्ययनों में व्यवसाय की पर्सेंटाइल रैंकों को चार बैंडों में बांटती है। यह रोज़गार या वेतन का पूर्वानुमान नहीं है, न अपनाए जाने की संभावना, और यह स्वचालन और संवर्धन में अंतर नहीं करती।
Task-level exposure
केवल एक्सपोज़र वाले कार्य| Task | Claude.aiRaw / share % |
|---|---|
Develop new software applications or customize existing applications to meet specific scientific project needs.19-1029 | 0.057515.8 |
Analyze large molecular datasets such as raw microarray data, genomic sequence data, and proteomics data for clinical or basic research purposes.19-1029 | 0.048313.3 |
Develop data models and databases.19-1029 | 0.03499.6 |
Consult with researchers to analyze problems, recommend technology-based solutions, or determine computational strategies.19-1029 | 0.02928.0 |
Manipulate publicly accessible, commercial, or proprietary genomic, proteomic, or post-genomic databases.19-1029 | 0.02055.6 |
Create or use statistical models for the analysis of genetic data.19-1029 | 0.01764.8 |
Search scientific literature to select and modify methods and procedures most appropriate for genetic research goals.19-1029 | 0.01754.8 |
Evaluate genetic data by performing appropriate mathematical or statistical calculations and analyses.19-1029 | 0.01724.7 |
Prepare reports, manuscripts, and meeting presentations.19-1029 | 0.01093.0 |
Design and apply bioinformatics algorithms including unsupervised and supervised machine learning, dynamic programming, or graphic algorithms.19-1029 | 0.00932.5 |
| Not observed on any surface — 35 task(s) — These tasks have no row in the source for this release. The 0 in the share row is a display-stage composition ratio; absence is what the — in the raw row states. | |
Keep abreast of new biochemistries, instrumentation, or software by reading scientific literature and attending professional conferences. | —0 |
Direct the work of technicians and information technology staff applying bioinformatics tools or applications in areas such as proteomics, transcriptomics, metabolomics, and clinical bioinformatics. | —0 |
Confer with departments such as marketing, business development, and operations to coordinate product development or improvement. | —0 |
Prepare summary statistics of information regarding human genomes. | —0 |
Improve user interfaces to bioinformatics software and databases. | —0 |
Verify all financial, physical, and human resources assigned to research or development projects are used as planned. | —0 |
Coordinate molecular or cellular research activities with scientists specializing in other fields. | —0 |
Supervise technical personnel and postdoctoral research fellows. | —0 |
Provide scientific direction for project teams regarding the evaluation or handling of devices, drugs, or cells for in vitro and in vivo disease models. | —0 |
Monitor or operate specialized equipment such as gas chromatographs and high pressure liquid chromatographs, electrophoresis units, thermocyclers, fluorescence activated cell sorters, and phosphorimagers. | —0 |
Maintain accurate laboratory records and data. | —0 |
Instruct undergraduate and graduate students within the areas of cellular or molecular biology. | —0 |
Evaluate new technologies to enhance or complement current research. | —0 |
Develop assays that monitor cell characteristics. | —0 |
Design molecular or cellular laboratory experiments, oversee their execution, and interpret results. | —0 |
Conduct research on cell organization and function, including mechanisms of gene expression, cellular bioinformatics, cell signaling, or cell differentiation. | —0 |
Evaluate new supplies and equipment to ensure operability in specific laboratory settings. | —0 |
Confer with vendors to evaluate new equipment or reagents or to discuss the customization of product lines to meet user requirements. | —0 |
Design databases such as mutagenesis libraries. | —0 |
Write grants and papers or attend fundraising events to seek research funds. | —0 |
Verify that cytogenetic, molecular genetic, and related equipment and instrumentation is maintained in working condition to ensure accuracy and quality of experimental results. | —0 |
Maintain laboratory safety programs and train personnel in laboratory safety techniques. | —0 |
Design and maintain genetics computer databases. | —0 |
Confer with information technology specialists to develop computer applications for genetic data analysis. | —0 |
Collaborate with biologists and other professionals to conduct appropriate genetic and biochemical analyses. | —0 |
Attend clinical and research conferences and read scientific literature to keep abreast of technological advances and current genetic research findings. | —0 |
Supervise or direct the work of other geneticists, biologists, technicians, or biometricians working on genetics research projects. | —0 |
Maintain laboratory notebooks that record research methods, procedures, and results. | —0 |
Extract deoxyribonucleic acid (DNA) or perform diagnostic tests involving processes such as gel electrophoresis, Southern blot analysis, and polymerase chain reaction analysis. | —0 |
Design sampling plans or coordinate the field collection of samples such as tissue specimens. | —0 |
Plan curatorial programs for species collections that include acquisition, distribution, maintenance, or regeneration. | —0 |
Participate in the development of endangered species breeding programs or species survival plans. | —0 |
Instruct medical students, graduate students, or others in methods or procedures for diagnosis and management of genetic disorders. | —0 |
Evaluate, diagnose, or treat genetic diseases. | —0 |
Conduct family medical studies to evaluate the genetic basis for traits or diseases. | —0 |
Values in this tab are predicted labels, not observations. Eloundou et al. (2023) published two rating regimes — human raters and GPT-4 — and the β shown here is derived from the GPT-4 rater basis alone; the same task can take a different value under the other regime. The unit and the meaning differ from the observed shares (%) in the other tabs, so do not place them on the same axis.
| Task | βE1 + 0.5 × E2 |
|---|---|
Collaborate with software developers in the development and modification of commercial bioinformatics software.O*NET Task ID 16779 | 1.0 |
Test new and updated bioinformatics tools and software.O*NET Task ID 16780 | 1.0 |
Instruct others in the selection and use of bioinformatics tools.O*NET Task ID 16783 | 1.0 |
Improve user interfaces to bioinformatics software and databases.O*NET Task ID 16784 | 1.0 |
Develop new software applications or customize existing applications to meet specific scientific project needs.O*NET Task ID 16786 | 1.0 |
Develop data models and databases.O*NET Task ID 16787 | 1.0 |
Create or modify web-based bioinformatics tools.O*NET Task ID 16788 | 1.0 |
Design and apply bioinformatics algorithms including unsupervised and supervised machine learning, dynamic programming, or graphic algorithms.O*NET Task ID 16789 | 1.0 |
Create novel computational approaches and analytical tools as required by research goals.O*NET Task ID 16790 | 1.0 |
Recommend new systems and processes to improve operations.O*NET Task ID 16776 | 0.5 |
β = E1 + 0.5 × E2 · E1 = tasks where direct LLM access alone cuts time by at least 50%, E2 = tasks where software built on top of an LLM cuts time by at least 50%. Values take only 0 / 0.5 / 1.0.
Data sources & licenses — O*NET®, Anthropic Economic Index, Eloundou et al. (2023): see full notices on the Credits page