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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

  • 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.

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

  • Test new and updated bioinformatics tools and software.

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

  • Create or modify web-based bioinformatics tools.

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

  • 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.

  • Recommend new systems and processes to improve operations.

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

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

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

  • Improve user interfaces to bioinformatics software and databases.

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

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

  • 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.

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

  • Develop data models and databases.

Technologies & Software

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