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Automation Risk Analysis

Will “Bioinformatics Associate” be Automated?

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AI Exposure Risk

60%

“Bioinformatics Associate” 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 Associate” 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

  • 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.

  • Improve user interfaces to bioinformatics software and databases.

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

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

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

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

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

  • 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.

  • 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.

  • Create or modify web-based bioinformatics tools.

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

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

  • Test new and updated bioinformatics tools and software.

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

  • Prepare summary statistics of information regarding human genomes.

  • Recommend new systems and processes to improve operations.

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

Technologies & Software

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