How are biotech or AI research teams using Jira to manage complex machine learning workflows?

[Larawinzi]

Hey everyone,

I’m curious to learn how teams in biotech or AI-focused research environments are leveraging J i r a to manage their machine learning and data science workflows.

Biotech companies (which build AI for precision medicine and immunology) must deal with a lot of complex, cross-functional tasks — data Pre-processing, model training, experimentation, validation, documentation, and deployment — all while complying with regulatory standards.

So my questions are:

• How do you structure your J i r a boards for such technical workflows?

• Do you use custom issue types or stick with Epics/Stories/Tasks?

• Are there any automation rules you’ve found especially useful for AI/ML projects?

• How do you integrate J i r a with tools like Bit-bucket, Confluence, or ML-flow, if at all?

I’m trying to streamline project management for a small team working on AI-driven research, and would love to hear best practices, templates, or lessons learned.

Thanks in advance! 🚀

[Jehan Bhathena]

Hi @Larawinzi 

Yours seems like a pretty specific use case, I'll try to respond to below:

• How do you structure your J i r a boards for such technical workflows?

  • Boards are a view into your Jira ticket, they don't need to mimic you workflow, they are instead a good way to get a quick view/update on where the ticket is in the overall process. Eg, you can have just 3 columns in a board To-Do, In Progress and Done, if that give you a better view or you can break it down into stages based on your profession to identify where the ticket currently is

• Do you use custom issue types or stick with Epics/Stories/Tasks?

  • Out of the box issues types are better when you're following traditional software development, but you can always create more if there is a use case that calls for it. Note, you don't want to over do this since it would add to additional administration, so be mindful when you want to create a new issue type

• Are there any automation rules you’ve found especially useful for AI/ML projects?

  • Jira automation is very powerful, I personally use it a lot for my day to day workflows, and it can be used to take care of repetitive tasks, if you have a use case, perhaps you can share that and we can help if that would work?

• How do you integrate J i r a with tools like Bit-bucket, Confluence, or ML-flow, if at all?

  • Not sure for ML-Flow, but Bitbucket and confluence have native integrations with JIra