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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

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

  • Improve user interfaces to bioinformatics software and databases.

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

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

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

  • Create or modify web-based bioinformatics tools.

  • Test new and updated bioinformatics tools and software.

  • 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.

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

  • 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.

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

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

  • 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.

  • Prepare summary statistics of information regarding human genomes.

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

  • Develop data models and databases.

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

Technologies & Software

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