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Comment by collyw | Hacker News Reader

"even though it requires more knowledge than either"

It doesn't usually require more knowledge. The majority of bioinformaticians that I know are pretty poor coders, and know just enough Perl or Python to count some stuff up an do some stats on it or plot a graph. They have no idea how to set up a server, write maintanable code, design a database well or keep a website secure. Obviosuly there are exceptions, but the majority that I have worked with are junior level programmers with knowledge of biology.

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"knowledge of biology"

I am not sure you fully appreciate what " knowledge of biology" means. As a programmer who did a lot of molecular biology in the past - doing molecular biology is not simple. The learning curve for a lot of biological topics - especially the ones that get close to organic chemistry is really steep.

This is something that I have seen people with a CS or EE background really underestimate. The amount of biology information you need to keep in your head is huge. There is not a core of day-to-day knowledge that you can use and look up the rest when you need, you need to keep all of it in your head just to get the most basic things done.

Its the same everywhere.

Programmers underestimating the value/knowledge of accountants/lawyers.

Businessman assuming tech work is simple.

People by default assume what looks simple for someone to do must be simple - even if they spent 10,000+ hours practicing it.

I have a batchelors in Molecular Biology, so I have a reasonable idea.

Depends on the person. Basically, to be good at both is a lot harder than writing a web app.

A lot of bioinformatics is implementing elaborate algorithms in a memory efficient way.

Things like

- approximate string search using modified suffix trees

- some new variation of the EM algo using a new optimization strategy

- the whole protein folding field where many implement the simulations on a huge array of GPUs. Here you not only have to know how to write efficient code on GPUs, but also be an expert in parallel algorithms if the algorithm you are implementing is not embarrassingly parallel.

However, these algos will be thrown out in a month so they don't care about maintainability or uptime.

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