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Automation Risk Analysis

Will “Research Scientist” be Automated?

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AI Exposure Risk

60%

“Research 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%

“Research 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

  • Develop data models and databases.

  • Test new and updated bioinformatics tools and software.

  • Improve user interfaces to bioinformatics software and databases.

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

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

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

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

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

  • 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.

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

  • Recommend new systems and processes to improve operations.

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

  • Prepare summary statistics of information regarding human genomes.

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

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

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

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

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

Technologies & Software

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