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Automation Risk Analysis

Will “Bioinformatics Data Analyst” be Automated?

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AI Exposure Risk

60%

“Bioinformatics Data 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%

“Bioinformatics Data 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

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

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

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

  • Recommend new systems and processes to improve operations.

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

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

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

  • Develop data models and databases.

  • Create or modify web-based bioinformatics tools.

  • Prepare summary statistics of information regarding human genomes.

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

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

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

  • Improve user interfaces to bioinformatics software and databases.

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

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

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

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

  • 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.

Technologies & Software

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