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Automation Risk Analysis

Will “Bioinformatics Developer” be Automated?

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AI Exposure Risk

60%

“Bioinformatics Developer” 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 Developer” 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

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

  • Improve user interfaces to bioinformatics software and databases.

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

  • Create or modify web-based bioinformatics tools.

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

  • Test new and updated bioinformatics tools and software.

  • 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.

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

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

  • 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.

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

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

  • Recommend new systems and processes to improve operations.

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

  • Prepare summary statistics of information regarding human genomes.

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

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

  • Develop data models and databases.

Technologies & Software

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