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Automation Risk Analysis

Will “Bioinformatics Research Technician” be Automated?

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AI Exposure Risk

52%

“Bioinformatics Research Technician” 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 Research Technician” 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

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

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

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

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

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

  • Document all database changes, modifications, or problems.

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

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

  • Develop or apply data mining and machine learning algorithms.

  • Package bioinformatics data for submission to public repositories.

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

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

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

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

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

  • Confer with database users about project timelines and changes.

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

  • Participate in the preparation of reports or scientific publications.

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

Technologies & Software

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