Right, ok, we need to back up for a second - and this is a common misconception but - bioinformatics isn't a skill like Western Blot or ELISA. Using BLAST or MEGA is not bioinformatics. Bioinformatics is knowing when to use BLAST and MEGA. Anyone can learn how to use any program in an afternoon. They have to because new programs are coming out all. the. time. much more frequently than new wetlab protocols do anyway.
Bioinformatics is knowing which program, pipeline, or components of a pipeline, should be used given some biological data and question. Knowing which program to use might take months to figure out, not to mention years of experience. This is because bioinformatics is a field of science that is significantly more theoretical than biology. Even the most practical aspects of bioinformatics such as running data through an existing pipeline requires a deeper knowledge of theory than a wetlab biology protocol like taking blood and sequencing it. I remember when I worked in the wetlab, we'd always have the radio on in the background. I'm not sure i've ever heard talk-show radio in a computer lab ever. It's much too distracting given the highly-theoretical nature of the job. Yes there are some practical jobs in bioinformatics, but those jobs are slowly but surely disappearing as computer programs get better and better and doing stuff for us. If I was to recommend someone who likes the practical aspects of biology to do bioinformatics in 2016, I would be doing them a great disservice, even if it's what they wanted to hear.
So put it this way - you've busted your shoulder, a shoulder that you needed to put into action your practical skills. Skill that pay the bills. Your reaction to this has been to think of new practical skills you could learn that don't require a shoulder, such as doing stuff on a computer. Unfortunately, despite knowing some or even a lot of biology, unless you can think about problems in biology in an abstract way you won't enjoy bioinformatics. So in my opinion, you should think about changing career paths entirely to something that is practical and worthy of your time, or, develop your abstract reasoning abilities to the level required for bioinformatics.
For the former, I think accounting or law might be a good idea for you. There's a LOT of computer work, and it is an environment heavy on the practical and light on the theoretical (oh and you can pay off those frankly inhumane educational debts). Failing that management might be a good idea. It could even be management of a biological sciences environment.
If you wish to develop your abstract reasoning and be the kind of person that thinks up new directions to take research, that is a totally different path, and one where Bioinformatics would suit. However, neither your first nor second post contained anything that led me to believe this is the sort of thing you would find interesting. You talk a lot about your skills and the specifics of this injury. You sound like a practical guy or girl. So if you wish to pursue bioinformatics, no one is going to stop you. But in the end your shoulder pain might end up being a royal pain in the elbow.
Perhaps some additional options if you want to stay in (biological) science: science journalism, scientific editor at a journal, science communication,...
The good thing about programming is that there are countless online resources. I think you should start getting into one programming language (Python would be a good start) a bit and see if you like it - because if not, you might not want to do bioinformatics. Also some linux/unix skills are usually necessary. So if you want to get into it, I think start with these too topics, linux and python. And after spending some serious time with it I guess you can better judge if this is something for you. Just google, as I said, there are countless tutorials and there is no need at the beginning to include 'bioinformatics' in your search, first you have to learn the basics.
However, as Wouter said, there are A LOT of opportunities with your background that do not involve lab work. So it does not have to be bioinformatics! Keep that in mind and don't get discouraged!