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Automation Risk Analysis

Will “Bioinformatics Engineer” be Automated?

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AI Exposure Risk

60%

“Bioinformatics Engineer” 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 Engineer” 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

  • 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.

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

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

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

  • 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.

  • Create or modify web-based bioinformatics tools.

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

  • Recommend new systems and processes to improve operations.

  • Prepare summary statistics of information regarding human genomes.

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

  • Test new and updated bioinformatics tools and software.

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

  • Develop data models and databases.

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

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

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

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

Technologies & Software

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