With my background in computer science and ML, I worked with genitesists to automate some of their observations. A lot (almost everything) what they do routine

With my background in computer science and ML, I worked with genitesists to automate some of their observations. A lot (almost everything) what they do routinely is still done manually. In genetics there are about 10 model organisms (I forgot the exact number) that most work is done on. Examples I have come in touch with are C. Elegans, D. Melanogaster and mice. A huge amount of work is done on these organisms and a huge amount of time is spent by grad students and post docs, repeating the same boring tasks day in and out. This is a big factor in deciding the breath of studies (you can only compare as many conditions as you can evaluate). Some things biologists do are subjective or prone to bias (even objective tasks like counting stuff becomes kind of biased after fatigue sets in if you have to count a lot of things and have to do it very often) If you can automate their tasks, what will happen is that you will enable them to increase the breath of their studies drastically and potentially create more consistent measurements as well.