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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

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

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

  • Test new and updated bioinformatics tools and software.

  • Improve user interfaces to bioinformatics software and databases.

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

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

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

  • Recommend new systems and processes to improve operations.

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

  • Prepare summary statistics of information regarding human genomes.

  • 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.

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

  • Create or modify web-based bioinformatics tools.

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

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

  • Develop data models and databases.

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

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

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

Technologies & Software

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