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Automation Risk Analysis

Will “Molecular Modeler” be Automated?

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AI Exposure Risk

60%

“Molecular Modeler” 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%

“Molecular Modeler” 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

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

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

  • Prepare summary statistics of information regarding human genomes.

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

  • 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.

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

  • Test new and updated bioinformatics tools and software.

  • Recommend new systems and processes to improve operations.

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

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

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

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

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

  • Improve user interfaces to bioinformatics software and databases.

  • Create or modify web-based bioinformatics tools.

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

  • Develop data models and databases.

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

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

Technologies & Software

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