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Automation Risk Analysis

Will “Bioinformatics Specialist” be Automated?

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AI Exposure Risk

60%

“Bioinformatics Specialist” 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 Specialist” 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

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

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

  • Recommend new systems and processes to improve operations.

  • Test new and updated bioinformatics tools and 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.

  • Improve user interfaces to bioinformatics software and databases.

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

  • 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.

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

  • Prepare summary statistics of information regarding human genomes.

  • 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.

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

  • Develop data models and databases.

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

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

  • 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.

Technologies & Software

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