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Automation Risk Analysis

Will “Oncology Bioinformatics Analyst” be Automated?

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AI Exposure Risk

60%

“Oncology 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 60% probability of disruption by generative AI and Large Language Models.

Automation & Robot Risk

31%

“Oncology Bioinformatics Analyst” 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
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Data is based on the reference occupation: “Bioinformatics Scientists”

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Core Skills & Abilities

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

  • Create or modify web-based bioinformatics tools.

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

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

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

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

  • Test new and updated bioinformatics tools and software.

  • Develop data models and databases.

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

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

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

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

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

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

  • Recommend new systems and processes to improve operations.

  • Improve user interfaces to bioinformatics software and databases.

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

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

  • Prepare summary statistics of information regarding human genomes.

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

Technologies & Software

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