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Automation Risk Analysis

Will “Bioinformatics Support Specialist” be Automated?

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AI Exposure Risk

60%

“Bioinformatics Support Specialist” 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 Support Specialist” 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

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

  • Recommend new systems and processes to improve operations.

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

  • Create or modify web-based bioinformatics tools.

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

  • 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.

  • 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.

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

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

  • Develop data models and databases.

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

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

  • Improve user interfaces to bioinformatics software and databases.

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

  • Prepare summary statistics of information regarding human genomes.

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

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

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

Technologies & Software

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