Another possible angle is high performance computing as it relates to biological data. Today's DNA sequencing instruments can kick out tens of millions of data

Another possible angle is high performance computing as it relates to biological data. Today's DNA sequencing instruments can kick out tens of millions of data points. These can be mapped back to where they belong on a genome and then from that data, variations can be calculated. Want to find out what mutations a cancer patient might have? This is how. This would be a perfect place for someone who might be interested in cloud computing, for example. I work in the field myself, and on my team there is a mix of pure CS people and computational biologists. In my experience there are plenty of opportunities for good developers to get in the door and make huge contributions without necessarily having to have all the comp bio experience. And, for what it's worth, data visualization is always a problem and the field will always need sharp web guys to develop good tools to view what's going on. This gets especially important now that the volume of data that you're trying to get answers out of is so ridiculously huge.