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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

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

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

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

  • 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.

  • Recommend new systems and processes to improve operations.

  • 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.

  • Improve user interfaces to bioinformatics software and databases.

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

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

  • Test new and updated bioinformatics tools and software.

  • Develop data models and databases.

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

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

  • 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.

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

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

  • Prepare summary statistics of information regarding human genomes.

Technologies & Software

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