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Automation Risk Analysis

Will “Microarray Specialist” be Automated?

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AI Exposure Risk

60%

“Microarray Specialist” 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 Specialist” 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

  • Recommend new systems and processes to improve operations.

  • Improve user interfaces to bioinformatics software and databases.

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

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

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

  • Develop data models and databases.

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

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

  • Prepare summary statistics of information regarding human genomes.

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

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

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

  • Test new and updated bioinformatics tools and software.

  • 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.

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

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

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

  • 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.

Technologies & Software

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