This probably holds true everywhere, but perhaps more pronounced in research and service centers, or at least I'm under that impression since every bioinformatician I have talked to has been part of a research or service center and has confirmed this. In such facilities, people think bioinformaticians are, and should be, capable of everything that is in any way connected to 'computers' and 'programming' in their broadest sense!
Having worked, for a few years, at a research center that is partly also a service center, I have been often asked to do things completely outside the scope of bioinformatics. For example, I have: designed a website for our unit, designed websites for all of our courses/workshops, taken care of our internal newsletter, literally done a lot of tasks that precisely fall under the scope of an IT department (managing SQL databases of our center, etc.).
This is just a very short list of what I have been asked to do that is in no way related to what I have been employed for. I am not complaining about any of this, in fact I really appreciate such positions. I have learned a lot. Data analysis, deep learning, image processing, signal processing, biostatistics, database management, web design, web application development, OCR, you name it.
This is all great until you want to apply for a focused position in industry.. Most of the time I see job recruiters completely ignore my application the moment they read the word 'Bioinformatician' on my CV as my most recent position. They don't even bother to go further with my CV and just think of me as irrelevant to their 'Data Scientist' job ad. And when it comes to cover letters, I feel that nobody believes me when I tell them that I have had to develop tools that leveraged Perl, R, HTML, and SQL at the same time, and that in that same position I did a lot of image processing, machine learning. And when it to comes to data analysis, it's probably the worst.. Looks like mentioning you have done metabolomics, proteomics, ChIP-seq analysis just makes you more irrelevant.
I guess this has become a very confused post so far, but that's because this is a terribly confusing matter. I am pretty sure many bioinformaticians have had the same experience, because I have talked to many who have felt the same. How can you advertise yourself? How do you structure your CV when you are truly a good fit for that 'Data Scientist' position while also a very good fit for that 'Junior Machine Learning' position? How do you make the job recruiter understand the multidisciplinary nature of your work and that you are not boasting when you tell them that you have experience with statistical analysis, time-series data analysis, deep learning, data visualization, and so on and so forth?
I think even having the title 'Bioinformatician' on my CV is a minus point. But what can I substitute it with without lying? Research Assistant? Research Analyst? Well of course if I am applying to a 'Data Analyst' position they'll still go after those people whose recent position's been 'Data Analyst', not after me. I am saying this because I have experienced this so many times where the job recruiter didn't have a single idea 'what' a bioinformatician 'is'. After that point, you could be writing a novel about how complex metabolomics datasets are, they won't be listening to you..