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Automation Risk Analysis

Will “Bioinformatics Analyst” be Automated?

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AI Exposure Risk

60%

“Bioinformatics Analyst” 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 Analyst” 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

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

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

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

  • Prepare summary statistics of information regarding human genomes.

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

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

  • 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.

  • Improve user interfaces to bioinformatics software and databases.

  • Create or modify web-based bioinformatics tools.

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

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

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

  • Test new and updated bioinformatics tools and software.

  • 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.

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

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

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

Technologies & Software

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