LME4-package: glmer function in RStudio. do i need to scale and normalize the data-matrix?

I am using the glmer() from the lme4 package. In the model, I have 6 different variables and multiple samples from the same patient. Five of the variables are scaled the same way (2^(difference patients and technical control). The last variable was on a different scale(non-parametric, values between 10^1 and 10^6). I log-transformed this data and corrected them for the technical controls the same way as variable 1-5. Should I now also transform and scale my matrix before running the model? or is that not necessary when doing a glmer()?

model <- glmer(
resp ~ variable1 + variable2 + variable3 +
variable4 + variable5 + variable6 + (1 | pat),
family = binomial(), data = datmat)