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Automation Risk Analysis

Will “Laboratory Bioinformatics Analyst” be Automated?

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AI Exposure Risk

60%

“Laboratory Bioinformatics Analyst” 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%

“Laboratory Bioinformatics Analyst” 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

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

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

  • Prepare summary statistics of information regarding human genomes.

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

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

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

  • Recommend new systems and processes to improve operations.

  • Create or modify web-based bioinformatics tools.

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

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

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

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

  • Improve user interfaces to bioinformatics software and databases.

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

  • Develop data models and databases.

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

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

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

  • Test new and updated bioinformatics tools and software.

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

Technologies & Software

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