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Automation Risk Analysis

Will “Bioinformatics Computer Scientist” be Automated?

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AI Exposure Risk

60%

“Bioinformatics Computer 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%

“Bioinformatics Computer 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

  • 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.

  • 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.

  • Prepare summary statistics of information regarding human genomes.

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

  • 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.

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

  • Develop data models and databases.

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

  • Test new and updated bioinformatics tools and software.

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

  • 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.

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

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

  • Create or modify web-based bioinformatics tools.

Technologies & Software

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