untzkatz Posted May 3, 2021 Share Posted May 3, 2021 Are there Biostat titled jobs which actually use real and cool statistics and programming? I am an MS who graduated last year and I just cannot find them. On the other hand, it looks like a good amount of DS positions do mention these techniques/tools: causal inference, time series, multivariate analysis, predictive modeling, Bayesian modeling, ML/DL. R/Python/Julia, PyTorch/TF, observational and unstructured data etc. Then on the other side, in Biostat, you see very boring things like SAPs, SAS, FDA/ICH guidelines, QC, experience in regulatory environments, more documentation, validation, trials. A good 80-90% of this is non-technical. Having been in a Biostat job for a year I hate it and want to get out. Its a heavy amount of formal boring writing. And often times even slightly more involved analyses are rejected in favor of a dumb t-test or ANOVA. I see this Biostat field is dying and becoming increasingly a “regulatory monkey” role where the real work and advancement in the field is not ones statistical or programming ability but the ability to communicate with regulatory bodies. I kid you not, I saw a Principal Biostat profile which was like “verifying 100 SAP documents and checking consistency”. I notice even where I am, even the bioinformaticians do more of the technical statistics. Why is it like this? I know this is not just a case of being at a bad place, I notice this consistently in LinkedIn job postings listing “Biostatistician”. Increasingly, it seems like the real statistics work is going to regular statistics, DS, other computational domain specialists (comp chemists, bioinfo, etc), and of course CS/EE. The exception is some of the biostat jobs on the bioinfo side, but those are mostly out since my program didn’t cover genomics and I know very little. In a different thread, it was mentioned that there is a stereotype for Biostatistics in the industry to be about regulatory stuff, trials, and SAS/SAP. I’m wondering how do people get past this stereotype? How did it start in the first place? Obvioisly I can apply for DS jobs too, but its super competitive and hard to get noticed. Which brings me to potentially going for a PhD in a computationally heavy field such as DS, ML, bioinfo. Regular stat too although I am concerned there that my math stat MS courses I got B/B+s and have not done real analysis. It would be ideal if I could land the DS jobs that use the actual statistical techniques heavily without a PhD, but I am having trouble being noticed. Sometimes in the postings they conveniently leave out biostats but for whatever reason (in biotech) will list regular stat, bioinfo, EE/CS. I have even applied for these anyways and then gotten a recruiter back to me who said “Oh actually you will be a better fit for this Biostat validation position”. No thanks. The industry perception of Biostats is absolutely not good, in my opinion if you want technical work. That being said, I know there are a handful of people who don’t want to be doing stats or programming all day too and like the regulatory, business side. But that is not me. Link to comment Share on other sites More sharing options...
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