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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

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

  • Create or modify web-based bioinformatics tools.

  • Test new and updated bioinformatics tools and software.

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

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

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

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

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

  • Improve user interfaces to bioinformatics software and databases.

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

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

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

  • Develop data models and databases.

  • Recommend new systems and processes to improve operations.

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

  • Prepare summary statistics of information regarding human genomes.

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

  • 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.

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

Technologies & Software

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