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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

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

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

  • 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.

  • 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.

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

  • Test new and updated bioinformatics tools and software.

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

  • Improve user interfaces to bioinformatics software and databases.

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

  • Develop data models and databases.

  • Prepare summary statistics of information regarding human genomes.

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

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

  • Create or modify web-based bioinformatics tools.

  • 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.

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

Technologies & Software

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