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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.

  • Recommend new systems and processes to improve operations.

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

  • Prepare summary statistics of information regarding human genomes.

  • Develop data models and databases.

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

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

  • Improve user interfaces to bioinformatics software and databases.

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

  • Test new and updated bioinformatics tools and software.

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

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

  • 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.

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

  • Create or modify web-based bioinformatics tools.

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

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

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

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

Technologies & Software

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