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Automation Risk Analysis

Will “Drug Discovery Informatics Specialist” be Automated?

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AI Exposure Risk

60%

“Drug Discovery Informatics Specialist” 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%

“Drug Discovery Informatics Specialist” 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.

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

  • Prepare summary statistics of information regarding human genomes.

  • Test new and updated bioinformatics tools and software.

  • 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.

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

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

  • Recommend new systems and processes to improve operations.

  • Improve user interfaces to bioinformatics software and databases.

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

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

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

  • Develop data models and databases.

  • 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.

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

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

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

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

Technologies & Software

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