In this talk I will describe two problems from systems biology that can be analyzed with techniques from physics: characterizing the limitations of particular enzymatic networks via parameter sensitivity, and optimally designing high-throughput RNA-seq experiments. Both systems investigated may be parameterized in a low-dimensional, noisy subspace and I will discuss how this limits the scope of our analysis and offers new opportunities.