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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
ℹ️

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

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Core Skills & Abilities

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

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

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

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

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

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

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

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

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

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

  • Recommend new systems and processes to improve operations.

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

  • Develop data models and databases.

  • Prepare summary statistics of information regarding human genomes.

  • Create or modify web-based bioinformatics tools.

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

  • Improve user interfaces to bioinformatics software and databases.

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

  • Test new and updated bioinformatics tools and software.

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

Technologies & Software

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