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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

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

  • 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.

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

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

  • 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.

  • 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.

  • Test new and updated bioinformatics tools and software.

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

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

  • 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.

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

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

  • Prepare summary statistics of information regarding human genomes.

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

  • Recommend new systems and processes to improve operations.

Technologies & Software

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