Firstly, please separate the professional fields (i.e., medical doctor) from science. They are apples and oranges. Biology research is extremely competitive, and the intelligence and quantitative abilities of grad students at top schools is impressive. Every good graduate program emphasizes statistics. In my biology MS program, I took classes in sampling design (something I've found physical scientists, like my Ph.D. astrophysicist girlfriend, terrible at), ANOVA, and multivariate statistics. All of these required a proficiency in "coding" in the SAS stats. package. As a Ph.D. student, I've taken classes in non-parametric stats., and population modeling, learning basic programming in "R" in the process, and developing skills and scripting abilities in GIS and remote sensing packages. The majority of grad students I know develop proficiency in SQL, VBA, or some other language, like Python for ArcGIS (or all of the above). That said, I am not a programmer, and don't compete with the Quants on Wall St., but have many specialized skills that are used in population biology. There aren't a whole lot of for-profit ventures hiring people to test evolutionary theories or conserve species.