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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

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

  • Test new and updated bioinformatics tools and software.

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

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

  • 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.

  • Recommend new systems and processes to improve operations.

  • 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.

  • Prepare summary statistics of information regarding human genomes.

  • Create or modify web-based bioinformatics tools.

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

  • Develop data models and databases.

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

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

  • Improve user interfaces to bioinformatics software and databases.

  • 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.

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

Technologies & Software

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