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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

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

  • 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.

  • Develop data models and databases.

  • Create or modify web-based bioinformatics tools.

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

  • Prepare summary statistics of information regarding human genomes.

  • Test new and updated bioinformatics tools and software.

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

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

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

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

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

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

  • Improve user interfaces to bioinformatics software and databases.

  • 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.

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

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

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

Technologies & Software

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