I'm a surgery resident that decided to take some time during my training (now ~4 years of time) to go to graduate school and get a PhD in cell and molecular biology. When I started I knew I was interested in oncology/surgical oncology, but was mostly clueless about what kind of research I wanted to do and hadn't been in a lab since before medical school. I ended up joining a tumor immunology lab, and have spent most of the past 4 years doing the typical wet bench molecular biology, flow cytometry, etc. I took a RNAseq class here to learn how to analyze a dataset I generated as part of my thesis research, and seeing the power of the technology and also how limiting it was to have to rely on others to do even basic exploratory analysis, I became really interested in learning more. I now have some scRNAseq data as well that I am trying to learn how to analyze using resources online, and it has been really fun trying to learn more.
I guess my question is, for someone in my position, what would you prioritize learning? If I could go back in time I would have learned computer science and done a computational PhD, but with a year or two left in graduate school I want to make the most of my time. My goal is to eventually use my access to human patients in the clinic as a surgeon to be able to generate high dimensional data and ask questions using primary human samples. My knowledge of statistics is definitely lacking and a weak spot for me. But, I was wondering if there are other resources or areas of focus people would recommend? Thanks in advance for your thoughts!