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Automation Risk Analysis

Will “Bioinformatics Research Specialist” be Automated?

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AI Exposure Risk

60%

“Bioinformatics Research 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 Research 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

  • Develop data models and 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.

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

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

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

  • Create or modify web-based bioinformatics tools.

  • Improve user interfaces to bioinformatics software and databases.

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

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

  • 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.

  • Recommend new systems and processes to improve operations.

  • 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.

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

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

  • Prepare summary statistics of information regarding human genomes.

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

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

Technologies & Software

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