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Automation Risk Analysis

Will “Genomics Specialist” be Automated?

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AI Exposure Risk

60%

“Genomics 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%

“Genomics 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

  • 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.

  • Recommend new systems and processes to improve operations.

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

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

  • 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.

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

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

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

  • Create or modify web-based bioinformatics tools.

  • Develop data models and databases.

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

  • Prepare summary statistics of information regarding human genomes.

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

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

  • Test new and updated bioinformatics tools and software.

  • 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.

  • Improve user interfaces to bioinformatics software and databases.

Technologies & Software

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