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Automation Risk Analysis

Will “Bioinformatics Scientist” be Automated?

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AI Exposure Risk

60%

“Bioinformatics 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 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

  • 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.

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

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

  • Create or modify web-based bioinformatics tools.

  • 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.

  • Recommend new systems and processes to improve operations.

  • Prepare summary statistics of information regarding human genomes.

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

  • Develop data models and databases.

  • Improve user interfaces to bioinformatics software and databases.

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

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

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

  • Test new and updated bioinformatics tools and software.

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

Technologies & Software

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