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Automation Risk Analysis

Will “Bioinformatics Associate” be Automated?

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AI Exposure Risk

60%

“Bioinformatics Associate” 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%

“Bioinformatics Associate” 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

  • Improve user interfaces to bioinformatics software and databases.

  • Develop data models and databases.

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

  • Test new and updated bioinformatics tools and software.

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

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

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

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

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

  • Create or modify web-based bioinformatics tools.

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

  • 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.

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

  • Prepare summary statistics of information regarding human genomes.

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

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

  • Recommend new systems and processes to improve operations.

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

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

Technologies & Software

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