Question for those in DS with an epidemiology, biostatistics or health informatics background

I work in data science in a biotech/pharma company with an epidemiology/biostatistics background - in my previous jobs, I worked with colleagues who had a similar background but had much stronger research skills rather than programming skills in R or Python. This is where I felt I really shined because I loved using both to develop solutions that automated critical processes, data visualization tools and all. My technical skills I felt were my strongest asset in my career.

Both me and my research colleagues eventually switched into biotech - however, I work specifically in a data science team while they work in other roles. In the past 2 years, I've been really confused with my trajectory, especially the feeling that I focused a lot on technical skills that there is a push for AI to automate. Although I have a more balanced approach to AI in that I feel that even if AI can produce technical solutions, it still needs a lot of description and steering to get it to work the way it should - I still have this "what am I doing" feeling. I don't really have in-depth knowledge of the therapeutics I work with even though I try to set time to learn the domain knowledge and network with colleagues who have been working on the projects I've just gotten started on for years. My job over the last few years has felt really confusing as my team struggles with technical debt, lack of ownership and the myriad of other things. Moreover, I don't really see myself getting promoted - I started here with a senior DS role after having nearly a decade of experience and while I try to network extensively with my colleagues and take initiative, I feel like I might be stuck at this level for a while.

I look at my colleagues who were in research roles in previous jobs and they quickly got promoted to director roles in pharma in a span of just a few years. It's making me wonder if becoming a DS with a healthcare background was really worth it - data science in biotech/pharma feels very behind both in terms of organizational maturity and salary compared to tech and even other areas of biotech - but I do find the domain knowledge projects I work on more meaningful to me than the possibility of working at Meta or Amazon, say. It has me wondering if I should (or even can) switch to something else in pharma- but the thing is, I don't even know what to look for or what the titles/skills even actually mean or how my skills would be transferrable. I spoke to a colleague in medical affairs and when they explained the job, it felt like I would be jumping into a whole new world and bit of an unknown territory that I'm not sure I'd even like. I'm wondering if anybody else has been in this position and can offer advice - should I say in DS in biotech and grow my career here or leave data science for a role/function in pharma/biotech with an epidemiology/biostatistics background?