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Automation Risk Analysis

Will “Research Associate” be Automated?

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AI Exposure Risk

60%

“Research 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%

“Research 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

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

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

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

  • Create or modify web-based bioinformatics tools.

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

  • Prepare summary statistics of information regarding human genomes.

  • 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.

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

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

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

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

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

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

  • Recommend new systems and processes to improve operations.

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

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

  • Develop data models and databases.

  • Improve user interfaces to bioinformatics software and databases.

  • Test new and updated bioinformatics tools and software.

Technologies & Software

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