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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

  • 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.

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

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

  • 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.

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

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

  • Develop data models and databases.

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

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

  • Improve user interfaces to bioinformatics software and databases.

  • Create or modify web-based bioinformatics tools.

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

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

  • Recommend new systems and processes to improve operations.

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

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

  • Prepare summary statistics of information regarding human genomes.

  • Test new and updated bioinformatics tools and software.

Technologies & Software

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