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Automation Risk Analysis

Will “Statistical Genetic Analyst” be Automated?

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AI Exposure Risk

60%

“Statistical Genetic 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%

“Statistical Genetic 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

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

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

  • Recommend new systems and processes to improve operations.

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

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

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

  • Develop data models and databases.

  • Improve user interfaces to bioinformatics software and databases.

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

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

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

  • 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.

  • 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.

  • Create or modify web-based bioinformatics tools.

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

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

  • Test new and updated bioinformatics tools and software.

Technologies & Software

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