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Automation Risk Analysis

Will “Bioinformatics Research Scientist” be Automated?

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AI Exposure Risk

60%

“Bioinformatics 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%

“Bioinformatics 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.

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

  • 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.

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

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

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

  • Test new and updated bioinformatics tools and software.

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

  • Prepare summary statistics of information regarding human genomes.

  • Improve user interfaces to bioinformatics software and databases.

  • Recommend new systems and processes to improve operations.

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

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

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

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

  • Create or modify web-based bioinformatics tools.

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

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

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

Technologies & Software

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