If you are willing to learn basic molecular biology (structure of DNA, central dogma, etc.), you can get a job as a bioinformatician, bioinformatics analyst, bioinformatics engg, etc. where you could be analyzing biomedical datasets.
If you are willing to learn basic molecular biology (structure of DNA, central dogma, etc.), you can get a job as a bioinformatician, bioinformatics analyst, bioinformatics engg, etc. where you could be analyzing biomedical datasets.
We do work that winds up in people's actual medical records - meaning that genomics analysis we do influences/directs actual medical treatment for patients.
That said, I wish I knew more biology and statistics, which is just interesting to me. I'd feel a little "key" to the work rather than a "nice" addition to the team.
I have absolutely no doubt that the work you are doing is useful, relevant and a genuine contribution to society and the enterprise of science. But how many people who are “just” programmers or “just” bioinformaticians, no Ph.D. end up as first, second or third authors on papers?
That is the coin of the realm, right? It certainly is in Chemistry, Biology and Big Lab/Group Physics, yeah?
Publications would be hard as a non-PhD. If you wanted to focus on that, I have found that PIs welcome outsiders into their research groups. I'm certain you could put yourself in a position to publish with the same amount of credit as a grad student on a team (not much?). Especially with good data hacking skills, someone will be willing to help you scratch that publication itch. I think it would be like having a major side-project in addition to a fulltime job though.
Oddly enough, even though the work I do here is less technical than what I have done in the private sector, I seem to perceive a slight up-tick in respect from enterprise software groups.