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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

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

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

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

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

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

  • Recommend new systems and processes to improve operations.

  • Create or modify web-based bioinformatics tools.

  • Test new and updated bioinformatics tools and software.

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

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

  • Develop data models and databases.

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

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

  • Improve user interfaces to bioinformatics software and databases.

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

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

  • 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.

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

Technologies & Software

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