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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.

  • 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.

  • Recommend new systems and processes to improve operations.

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

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

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

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

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

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

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

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

  • 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.

  • Prepare summary statistics of information regarding human genomes.

  • 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.

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

  • Test new and updated bioinformatics tools and software.

  • Improve user interfaces to bioinformatics software and databases.

Technologies & Software

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