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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

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

  • Test new and updated bioinformatics tools and 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.

  • 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 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.

  • Recommend new systems and processes to improve operations.

  • Improve user interfaces to bioinformatics software and databases.

  • 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.

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

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

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

  • 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.

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

  • Create or modify web-based bioinformatics tools.

  • Prepare summary statistics of information regarding human genomes.

Technologies & Software

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