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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

  • Develop data models and databases.

  • Create or modify web-based bioinformatics tools.

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

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

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

  • 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.

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

  • Improve user interfaces to bioinformatics software and databases.

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

  • Recommend new systems and processes to improve operations.

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

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

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

  • 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.

  • 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.

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

  • Prepare summary statistics of information regarding human genomes.

Technologies & Software

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