AI for Bioinformatics Scientists

AI you can use for this job

56 matched to the tools bioinformatics scientists use. Showing 24.

• GitHub

  MCP server

  GitHub is the perfect place to share code and work collaboratively on private and open source software.

  GitHub

• PostgreSQL

  MCP server

  PostgreSQL is a powerful, open-source database engine with a uniquely advanced query optimizer and dozens of built in features, making it an easy choice for production databases.

  PostgreSQL

• GitHub

  App

  Securely connect your AI agents and chatbots (Claude, ChatGPT, Cursor, etc) with GitHub MCP or direct API to manage repositories, review pull requests, track issues, and automate code workflows through natural language.

  Make (make.com)

• MySQL

  MCP server

  MySQL is a premier database used in millions of production environments around the world. Easily plug your MySQL database into any web service.

  MySQL

• Salesforce

  MCP server

  Salesforce is a leading enterprise customer relationship manager (CRM) application.

  Salesforce

• Tableau

  App

  Tableau is a business intelligence and analytics platform that enables users to connect to databases, create data visualizations, and share insights. The platform offers deployment options including cloud-based, self-hosted, and desktop environments with drag-and-drop functionali

  Make (make.com)

• Tableau

  MCP server

• Azure DevOps

  App

  Make (make.com)

• Microsoft Excel

  MCP server

  Microsoft's Excel is a spreadsheet application used by millions of users across the world. It is part of the Office ecosystem and is considered the industry standard for spreadsheets. Only files on OneDrive for Business (available with Office 365 and Sharepoint server) are su

  Microsoft Excel

• MySQL

  App

  Make (make.com)

• Office Powerpoint

  MCP server

• PostgreSQL

  App

  Make (make.com)

• Powerpoint

  MCP server

• Bash

  App

• Bash

  MCP server

  Bash is an actionable, AI-powered feed for your product and marketing work.

  Bash

• Bash Linux

  Skill

• Data Visualization

  Skill

• Development Tools

  Skill

• Django Pro

  Skill

• Docker

  App

  Docker Cloud allows IT Ops team to deploy & manage Dockerized applications, from single container apps to distributed microservices stacks to any infrastructure

• Docker

  MCP server

• Excel

  MCP server

• Excel

  Skill

• Git

  MCP server

The tools this job actually uses

93 documented for this occupation. Showing 40, hot technologies first. A filled dot means an AI solution exists for it.

• Amazon Web Services AWS softwarehot
• Apache Hadoophot
• Bashhot
• Chot
• Chot
• Chot
• Djangohot
• Dockerhot
• Extensible markup language XMLhot
• Githot
• GitHubhot
• Hypertext markup language HTMLhot
• IBM SPSS Statisticshot
• JavaScripthot
• JavaScript Object Notation JSONhot
• jQueryhot
• Linuxhot
• Microsoft Accesshot
• Microsoft Active Server Pages ASPhot
• Microsoft Azure softwarehot
• Microsoft Excelhot
• Microsoft Office softwarehot
• Microsoft PowerPointhot
• Microsoft SharePointhot
• Microsoft SQL Serverhot
• Microsoft SQL Server Reporting Services SSRShot
• Microsoft Visual Basic for Applications VBAhot
• Microsoft Visual Studiohot
• MySQLhot
• NoSQLhot
• Oracle Databasehot
• Oracle Javahot
• Oracle PL/SQLhot
• Perlhot
• PHPhot
• PostgreSQLhot
• Pythonhot
• Rhot
• Rubyhot
• Salesforce softwarehot

What this job involves

20 documented tasks, most important first. Showing 20.

1. Develop new software applications or customize existing applications to meet specific scientific project needs.
2. Communicate research results through conference presentations, scientific publications, or project reports.
3. Create novel computational approaches and analytical tools as required by research goals.
4. Consult with researchers to analyze problems, recommend technology-based solutions, or determine computational strategies.
5. Analyze large molecular datasets, such as raw microarray data, genomic sequence data, or proteomics data, for clinical or basic research purposes.
6. Keep abreast of new biochemistries, instrumentation, or software by reading scientific literature and attending professional conferences.
7. Develop data models and databases.
8. Compile data for use in activities, such as gene expression profiling, genome annotation, or structural bioinformatics.
9. Design and apply bioinformatics algorithms including unsupervised and supervised machine learning, dynamic programming, or graphic algorithms.
10. Manipulate publicly accessible, commercial, or proprietary genomic, proteomic, or post-genomic databases.
11. Direct the work of technicians and information technology staff applying bioinformatics tools or applications in areas such as proteomics, transcriptomics, metabolomics, or clinical bioinformatics.
12. Provide statistical and computational tools for biologically based activities, such as genetic analysis, measurement of gene expression, or gene function determination.
13. Improve user interfaces to bioinformatics software and databases.
14. Create or modify web-based bioinformatics tools.
15. Confer with departments, such as marketing, business development, or operations, to coordinate product development or improvement.
16. Recommend new systems and processes to improve operations.
17. Instruct others in the selection and use of bioinformatics tools.
18. Collaborate with software developers in the development and modification of commercial bioinformatics software.
19. Test new and updated bioinformatics tools and software.
20. Prepare summary statistics of information regarding human genomes.