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Automation Risk Analysis

Will “Bioinformatics Research Specialist” be Automated?

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AI Exposure Risk

60%

“Bioinformatics Research 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 Research 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

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

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

  • 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.

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

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

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

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

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

  • 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.

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

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

  • Improve user interfaces to bioinformatics software and databases.

  • Prepare summary statistics of information regarding human genomes.

  • Develop data models and databases.

  • 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.

  • Recommend new systems and processes to improve operations.

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

Technologies & Software

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