Science researchers and students often spend a lot of their time doing statistical analysis, including using programming for that.

Humans are animals, and humans invented programming. Therefore, programming is applied biology.

Bayesian analysis of complex intelligent systems via friston's free energy principle and active inference? Or machine learning?

Personally love the stuff circling Michael Levin at tufts university. I could also imagine there's a lot of unique model building in different biological/ecological niches.

lm(turtle_gender ~ temp, data = data_frame)

Probably Python and R for statistical analysis, which is common nowadays in most empirical sciences.