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Automation Risk Analysis

Will “Scientist” be Automated?

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AI Exposure Risk

60%

“Scientist” will maybe be replaced by AI.

Based on the cognitive demands, communication requirements, and logical reasoning intrinsic to this occupation according to O*NET data, we project a 60% probability of disruption by generative AI and Large Language Models.

Automation & Robot Risk

31%

“Scientist” will probably not be replaced by robots.

Evaluating the physical dexterity, repetitive motion tasks, and manual labor associated with this role, our analysis indicates a 31% likelihood of substitution by advanced robotics systems.

Personal & Financial Insights

Every occupation has a unique profile. For Bioinformatics Scientists, the Bureau of Labor Statistics and O*NET classify the day-to-day work broadly as: 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.

Job Title & Hierarchy Code (SOC) Bioinformatics Scientists #19-1029.01
ℹ️

Data is based on the reference occupation: “Bioinformatics Scientists”

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Core Skills & Abilities

  • Confer with departments, such as marketing, business development, or operations, to coordinate product development or improvement.

  • Design and apply bioinformatics algorithms including unsupervised and supervised machine learning, dynamic programming, or graphic algorithms.

  • Develop data models and databases.

  • Instruct others in the selection and use of bioinformatics tools.

  • Analyze large molecular datasets, such as raw microarray data, genomic sequence data, or proteomics data, for clinical or basic research purposes.

  • Collaborate with software developers in the development and modification of commercial bioinformatics software.

  • Create novel computational approaches and analytical tools as required by research goals.

  • Prepare summary statistics of information regarding human genomes.

  • Test new and updated bioinformatics tools and software.

  • Recommend new systems and processes to improve operations.

  • Consult with researchers to analyze problems, recommend technology-based solutions, or determine computational strategies.

  • Improve user interfaces to bioinformatics software and databases.

  • Create or modify web-based bioinformatics tools.

  • Provide statistical and computational tools for biologically based activities, such as genetic analysis, measurement of gene expression, or gene function determination.

  • Communicate research results through conference presentations, scientific publications, or project reports.

  • Manipulate publicly accessible, commercial, or proprietary genomic, proteomic, or post-genomic databases.

  • Compile data for use in activities, such as gene expression profiling, genome annotation, or structural bioinformatics.

  • Direct the work of technicians and information technology staff applying bioinformatics tools or applications in areas such as proteomics, transcriptomics, metabolomics, or clinical bioinformatics.

  • Develop new software applications or customize existing applications to meet specific scientific project needs.

  • Keep abreast of new biochemistries, instrumentation, or software by reading scientific literature and attending professional conferences.

Technologies & Software

  • Word processing software
  • MySQL
  • ChatGPT (OpenAI)
  • IBM SPSS Statistics
  • Apache Accumulo
  • The MathWorks MATLAB
  • Apache Groovy
  • Accelrys Pipeline Pilot
  • Kimi (Moonshot AI)
  • Biomatters Geneious
  • Salesforce software
  • Primer3
  • Llama (Meta)
  • Genome Analysis Toolkit GATK
  • Bowtie
  • GenePattern
  • GitHub
  • Life Technologies Vector NTI
  • Gemini for Workspace
  • Teradata software
  • GenBank
  • NCBI RefSeq
  • Microsoft Office software
  • Tableau
  • Velvet
  • JavaScript Object Notation JSON
  • RNA sequencing software
  • TopHat
  • Cytel StatXact
  • Genedata Expressionist
  • Amazon Web Services AWS software
  • User interface design software
  • Oracle Database
  • Mistral (Mistral AI)
  • Apache HTTP Server
  • NotebookLM (Google)
  • SAP software
  • BioPerl
  • Life Technologies SOLiD
  • PHP
  • Microsoft Active Server Pages ASP
  • C++
  • Roche 454 Life Sciences GS Data Analysis
  • Scala
  • Cufflinks
  • Bioconductor software
  • DeepSeek
  • Apache Hadoop
  • Microsoft SharePoint
  • Mistral AI (chat/models)
  • ENSEMBL
  • Microsoft Visual Basic for Applications VBA
  • Perplexity AI
  • StataCorp Stata
  • TIBCO Spotfire S+
  • Hypertext markup language HTML
  • Extensible markup language XML
  • Claude (Anthropic)
  • Object oriented development environment software
  • Shell script
  • jQuery
  • Bash
  • Web browser software
  • Nova (Amazon)
  • PostgreSQL
  • Docker
  • Linux
  • C#
  • Relational database management software
  • Microsoft Excel
  • Microsoft Azure software
  • Microsoft SQL Server
  • Structured query language SQL
  • R
  • Formula translation/translator FORTRAN
  • UNIX
  • Grok (xAI)
  • Perl
  • Software development tools
  • Bioconductor
  • ClustalW
  • Oracle JavaServer Pages JSP
  • Tibco S-PLUS
  • Scite AI
  • BLAT
  • NoSQL
  • Qwen (Alibaba)
  • Consensus
  • Oracle Java
  • Python
  • C
  • Public genomic databases
  • Semantic Scholar AI
  • Microsoft PowerPoint
  • Illumina Laboratory Information Management System LIMS
  • Data visualization software
  • Microsoft Visual Studio
  • Canu
  • dbSNP
  • Microsoft Access
  • SAS
  • Microsoft SQL Server Reporting Services SSRS
  • JavaScript
  • Gemini (Google)
  • Git
  • Ruby
  • Elicit
  • Django
  • BWA
  • Oracle PL/SQL
  • DNA sequencing software
  • Laptop computers
  • Personal computers
  • Computer laser printers
  • Computer data input scanners
  • Desktop computers