I'm currently in a computational biology lab and people are allowed whatever suits them to tackle a problem. I'd say that there is an equal mix of octave, R, lisp, fortran, C++ and python.

I'm the heaviest user of python and this is because it allows me to get things done quickly (I need to concentrate on the science and not the joy of programming during office hours). Python is a great scripting language and that's how I use it. I find that I have to think too much when using Lisp on simple programming tasks and I'm being challenged enough by the maths or logic of the problem I'm working on.

That said, all genetic programming is done is Lisp because no other language comes close. The numerical performance of Lisp is also very good -- I'd say about 1/2 that of C++ when using SBCL. This speed is fast enough and impressive for a dynamically typed language.