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Automation Risk Analysis

Will “Bioinformatics Analyst” be Automated?

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AI Exposure Risk

52%

“Bioinformatics Analyst” 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%

“Bioinformatics Analyst” 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

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

  • Document all database changes, modifications, or problems.

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

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

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

  • Package bioinformatics data for submission to public repositories.

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

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

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

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

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

  • Develop or apply data mining and machine learning algorithms.

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

  • Participate in the preparation of reports or scientific publications.

  • Confer with database users about project timelines and changes.

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

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

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

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

Technologies & Software

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