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Automation Risk Analysis

Will “Computational Biologist” be Automated?

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AI Exposure Risk

60%

“Computational Biologist” 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%

“Computational Biologist” 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

  • Test new and updated bioinformatics tools and software.

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

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

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

  • Improve user interfaces to bioinformatics software and databases.

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

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

  • Prepare summary statistics of information regarding human genomes.

  • Recommend new systems and processes to improve operations.

  • Create or modify web-based bioinformatics tools.

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

  • Develop data models and databases.

  • 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.

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

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

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

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

Technologies & Software

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