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Automation Risk Analysis

Will “Bioinformatics Developer” be Automated?

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AI Exposure Risk

60%

“Bioinformatics Developer” 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%

“Bioinformatics Developer” 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

  • 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.

  • Recommend new systems and processes to improve operations.

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

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

  • Create or modify web-based bioinformatics tools.

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

  • Prepare summary statistics of information regarding human genomes.

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

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

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

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

  • 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.

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

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

  • Test new and updated bioinformatics tools and software.

  • Develop data models and databases.

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

  • Improve user interfaces to bioinformatics software and databases.

Technologies & Software

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