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Automation Risk Analysis

Will “Genetics Bioinformatics Analyst” be Automated?

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AI Exposure Risk

60%

“Genetics 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%

“Genetics 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

  • Create or modify web-based bioinformatics tools.

  • Improve user interfaces to bioinformatics software and databases.

  • 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.

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

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

  • Test new and updated bioinformatics tools and software.

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

  • Develop data models and databases.

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

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

  • Prepare summary statistics of information regarding human genomes.

  • Recommend new systems and processes to improve operations.

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

  • 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.

  • 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.

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

Technologies & Software

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