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Automation Risk Analysis

Will “Programmer Analyst” be Automated?

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AI Exposure Risk

60%

“Programmer 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%

“Programmer 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

  • Improve user interfaces to bioinformatics software and databases.

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

  • Prepare summary statistics of information regarding human genomes.

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

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

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

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

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

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

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

  • 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.

  • Test new and updated bioinformatics tools and software.

  • 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.

  • Develop data models and databases.

  • Create or modify web-based bioinformatics tools.

  • Recommend new systems and processes to improve operations.

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

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

Technologies & Software

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