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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

  • Create or modify web-based bioinformatics tools.

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

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

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

  • 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.

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

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

  • Recommend new systems and processes to improve operations.

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

  • Develop data models and databases.

  • Test new and updated bioinformatics tools and software.

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

  • Prepare summary statistics of information regarding human genomes.

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

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

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

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

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

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

Technologies & Software

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