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Automation Risk Analysis

Will “Bioinformatics Consultant” be Automated?

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AI Exposure Risk

60%

“Bioinformatics Consultant” 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 Consultant” 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

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

  • Improve user interfaces to bioinformatics software and databases.

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

  • Create or modify web-based bioinformatics tools.

  • Test new and updated bioinformatics tools and software.

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

  • Recommend new systems and processes to improve operations.

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

  • Develop data models and databases.

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

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

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

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

  • Prepare summary statistics of information regarding human genomes.

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

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

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

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

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

Technologies & Software

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