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Automation Risk Analysis

Will “Bioinformatics Analyst” be Automated?

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AI Exposure Risk

60%

“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%

“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

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

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

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

  • Test new and updated bioinformatics tools and software.

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

  • 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.

  • Prepare summary statistics of information regarding human genomes.

  • Recommend new systems and processes to improve operations.

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

  • Improve user interfaces to bioinformatics software and databases.

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

  • Develop data models and 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.

  • 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.

  • Create or modify web-based bioinformatics tools.

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

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

Technologies & Software

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