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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

  • Recommend new systems and processes to improve operations.

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

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

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

  • Develop data models and databases.

  • Test new and updated bioinformatics tools and software.

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

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

  • Create or modify web-based bioinformatics tools.

  • 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.

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

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

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

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

  • Prepare summary statistics of information regarding human genomes.

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

  • Improve user interfaces to bioinformatics software and databases.

  • 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.

Technologies & Software

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