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Automation Risk Analysis

Will “Bioinformatics Specialist” be Automated?

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AI Exposure Risk

60%

“Bioinformatics Specialist” 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%

“Bioinformatics Specialist” 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

  • Recommend new systems and processes to improve operations.

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

  • Prepare summary statistics of information regarding human genomes.

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

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

  • Test new and updated bioinformatics tools and software.

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

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

  • Create or modify web-based bioinformatics tools.

  • Develop data models and databases.

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

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

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

  • 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.

  • Improve user interfaces to bioinformatics software and 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.

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

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

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

Technologies & Software

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