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Automation Risk Analysis

Will “Bioinformatician” be Automated?

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AI Exposure Risk

60%

“Bioinformatician” 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%

“Bioinformatician” 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

  • Improve user interfaces to bioinformatics software and databases.

  • Test new and updated bioinformatics tools and software.

  • Create or modify web-based bioinformatics tools.

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

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

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

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

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

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

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

  • 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.

  • Recommend new systems and processes to improve operations.

  • Prepare summary statistics of information regarding human genomes.

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

  • 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.

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

  • 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 data models and databases.

Technologies & Software

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