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Automation Risk Analysis

Will “Bioinformaticist” be Automated?

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AI Exposure Risk

60%

“Bioinformaticist” 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%

“Bioinformaticist” 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

  • 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.

  • 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.

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

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

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

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

  • Prepare summary statistics of information regarding human genomes.

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

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

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

  • Improve user interfaces to bioinformatics software and databases.

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

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

  • 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.

  • Develop data models and databases.

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

Technologies & Software

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