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Automation Risk Analysis

Will “Microarray Analyst” be Automated?

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AI Exposure Risk

60%

“Microarray 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%

“Microarray 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

  • Improve user interfaces to bioinformatics software and databases.

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

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

  • Develop data models and databases.

  • Prepare summary statistics of information regarding human genomes.

  • 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.

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

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

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

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

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

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

  • Create or modify web-based bioinformatics tools.

  • Test new and updated bioinformatics tools and software.

  • Recommend new systems and processes to improve operations.

  • 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.

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

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

Technologies & Software

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