There is a lot of data being produced in these studies and outside of them. There are so many areas that a software developer could really benefit these projec

There is a lot of data being produced in these studies and outside of them. There are so many areas that a software developer could really benefit these projects. For example, a lot of bioinformatic software that is released is designed poorly, non-functional or hard to adopt. I wish there was a better way to integrate bioinformatics research with better software development principles. Unfortunately, there isn't a lot of motivation to make good software as the end-goal in most cases is to just get a publication and move on. There are examples of groups that really do put a lot of effort into quality software such as Seurat [1] or scanpy. Another area is trying to manage and process the datasets in large studies -- especially meta studies. Even for some of my small projects I dedicate a huge amount of time trying to curate random tables from publications, convert gene identifiers etc. [1] https://satijalab.org/seurat/ https://satijalab.org/seurat/ [2] https://icb-scanpy.readthedocs-hosted.com/en/stable/ https://icb-scanpy.readthedocs-hosted.com/en/stable/