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Automation Risk Analysis

Will “Systems Analyst” be Automated?

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AI Exposure Risk

60%

“Systems Analyst” 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%

“Systems Analyst” 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

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

  • Prepare summary statistics of information regarding human genomes.

  • 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.

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

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

  • 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.

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

  • Develop data models and databases.

  • Test new and updated bioinformatics tools and software.

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

  • Improve user interfaces to bioinformatics software and databases.

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

  • Create or modify web-based bioinformatics tools.

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

  • Recommend new systems and processes to improve operations.

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

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

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

Technologies & Software

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