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Automation Risk Analysis

Will “Scientist” be Automated?

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AI Exposure Risk

60%

“Scientist” 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%

“Scientist” 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

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

  • Recommend new systems and processes to improve operations.

  • 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.

  • Create or modify web-based bioinformatics tools.

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

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

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

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

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

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

  • Test new and updated bioinformatics tools and software.

  • Improve user interfaces to bioinformatics software and databases.

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

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

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

  • Prepare summary statistics of information regarding human genomes.

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

  • Develop data models and databases.

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

Technologies & Software

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