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Automation Risk Analysis

Will “Museum Informatics Specialist” be Automated?

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AI Exposure Risk

52%

“Museum Informatics 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 52% probability of disruption by generative AI and Large Language Models.

Automation & Robot Risk

30%

“Museum Informatics Specialist” will almost certainly not be replaced by robots.

Evaluating the physical dexterity, repetitive motion tasks, and manual labor associated with this role, our analysis indicates a 30% likelihood of substitution by advanced robotics systems.

Personal & Financial Insights

Every occupation has a unique profile. For Bioinformatics Technicians, the Bureau of Labor Statistics and O*NET classify the day-to-day work broadly as: Apply principles and methods of bioinformatics to assist scientists in areas such as pharmaceuticals, medical technology, biotechnology, computational biology, proteomics, computer information science, biology and medical informatics. Apply bioinformatics tools to visualize, analyze, manipulate or interpret molecular data. May build and maintain databases for processing and analyzing genomic or other biological information.

Job Title & Hierarchy Code (SOC) Bioinformatics Technicians #15-2099.01
ℹ️

Data is based on the reference occupation: “Bioinformatics Technicians”

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Core Skills & Abilities

  • Test new or updated software or tools and provide feedback to developers.

  • Package bioinformatics data for submission to public repositories.

  • Confer with database users about project timelines and changes.

  • Analyze or manipulate bioinformatics data using software packages, statistical applications, or data mining techniques.

  • Conduct quality analyses of data inputs and resulting analyses or predictions.

  • Train bioinformatics staff or researchers in the use of databases.

  • Write computer programs or scripts to be used in querying databases.

  • Develop or maintain applications that process biologically based data into searchable databases for purposes of analysis, calculation, or presentation.

  • Develop or apply data mining and machine learning algorithms.

  • Document all database changes, modifications, or problems.

  • Extend existing software programs, web-based interactive tools, or database queries as sequence management and analysis needs evolve.

  • Maintain awareness of new and emerging computational methods and technologies.

  • Design or implement web-based tools for querying large-scale biological databases.

  • Monitor database performance and perform any necessary maintenance, upgrades, or repairs.

  • Confer with researchers, clinicians, or information technology staff to determine data needs and programming requirements and to provide assistance with database-related research activities.

  • Enter or retrieve information from structural databases, protein sequence motif databases, mutation databases, genomic databases or gene expression databases.

  • Participate in the preparation of reports or scientific publications.

  • Create data management or error-checking procedures and user manuals.

  • Perform routine system administrative functions, such as troubleshooting, back-ups, or upgrades.

Technologies & Software

  • Bowtie
  • Llama (Meta)
  • Customer relationship management CRM software
  • Microsoft Windows
  • Mistral AI (chat/models)
  • Nova (Amazon)
  • Devin (Cognition AI)
  • R
  • The MathWorks MATLAB
  • Qwen (Alibaba)
  • Microsoft Outlook
  • Atlassian Bamboo
  • Voice over internet protocol VoIP system software
  • ChatGPT (OpenAI)
  • TopHat
  • GENSCAN
  • Genome Analysis Toolkit GATK
  • Cufflinks
  • Gemini Code Assist
  • Word processing software
  • Avaya Identity Engines
  • Thermo Fisher Scientific Ion Reporter
  • Google Antigravity
  • DeepSeek
  • SAS
  • Geographic information system GIS software
  • C++
  • GitHub Copilot
  • Git
  • Microsoft SQL Server
  • Data visualization software
  • Perl
  • Claude (Anthropic)
  • Linux
  • IBM SPSS Statistics
  • Mistral (Mistral AI)
  • Microsoft SharePoint
  • Hypertext markup language HTML
  • Perplexity AI
  • Microsoft Word
  • Web browser software
  • Apache Subversion SVN
  • Microsoft Excel
  • Cursor AI
  • Bolt.new
  • Burrows-Wheeler Aligner BWA
  • Basic Local Alignment Search Tool BLAST
  • Grok (xAI)
  • Microsoft Office software
  • Python
  • C
  • Gemini (Google)
  • Bioconductor
  • Structured query language SQL
  • v0 by Vercel
  • Ruby
  • Esri ArcGIS
  • Kimi (Moonshot AI)
  • Codeium
  • ClustalW
  • PHYLIP
  • Microsoft Access
  • SAP software
  • Enterprise resource planning ERP software
  • Microsoft Visio
  • Microsoft PowerPoint
  • Amazon CodeWhisperer
  • Oracle Database
  • Jenkins CI
  • Lovable.dev
  • MySQL
  • Oracle Java
  • Tabnine
  • Semiconductor-based sequencers
  • Computer clusters
  • Nuclear magnetic resonance NMR spectrometers
  • High throughput screening HTS systems
  • Desktop computers
  • Computer workstation setups
  • Web servers
  • Network file servers