A nice piece advice on going to industry is here How to leave academia [and go to programming, data science or quants] (at least I've found it valuable).

I guess the question is what you've learnt (some you take for granted, like ability to be manager of your own project), which kind of connections you made, what is the kind of job you would like to work, etc. Then, well, you can think about all jobs, forgetting that you were a PhD (except that additionally you can consider a very few highly academia-related, e.g. science popularization, lab technician).

And then, at least among my friends (and places I am looking by myself) is it is mostly "jobs in tech" - software engineering, web development, quants and data science. The last one seems to be one where a PhD student can have an edge (over s standard programmer) due to being immersed with different numerical tools (and general research methodology, etc). There are even some courses aimed at PhD graduates, for example Insight Data Science Fellows Program (or BigDive, which is more general, but I wholeheartedly recommend it, as an alumnus).

In the case "what are you missing" - I wouldn't split it in 4 paths. Especially as in many places there is no clear distinction between production and R&D (it may depend more on actual company, project, people involved, your drive to learn, etc).

But clearly, you miss whole "free" part related to being a consultant, freelancer or starting your own business.

A nice piece of advice on going to industry is here How to leave academia [and go to programming, data science or quants] (at least I've found it valuable).

I guess the question is what you've learnt (some you take for granted, like ability to be manager of your own project), which kind of connections you made, what is the kind of job you would like to work, etc. Then, well, you can think about all jobs, forgetting that you were a PhD (except that additionally you can consider a very few highly academia-related, e.g. science popularization, lab technician).

And then, at least among my friends (and places I am looking by myself) is it is mostly "jobs in tech" - software engineering, web development, quants and data science. The last one seems to be one where a PhD student can have an edge (over s standard programmer) due to being immersed with different numerical tools (and general research methodology, etc). There are even some courses aimed at PhD graduates, for example Insight Data Science Fellows Program (or BigDive, which is more general, but I wholeheartedly recommend it, as an alumnus).

In the case "what are you missing" - I wouldn't split it in 4 paths. Especially as in many places there is no clear distinction between production and R&D (it may depend more on actual company, project, people involved, your drive to learn, etc).

But clearly, you miss whole "free" part related to being a consultant, freelancer or starting your own business.

A nice piece advice on going to industry is here How to leave academia [and go to programming, data science or quants] (at least I've found it valuable).

I guess the question is what you've learnt (some you take for granted, like ability to be manager of your own project), which kind of connections you made, what is the kind of job you would like to work, etc. Then, well, you can think about all jobs, forgetting that you were a PhD (except that additionally you can consider a very few highly academia-related, e.g. science popularization, lab technician).

And then, at least among my friends (and places I am looking by myself) is it is mostly "jobs in tech" - software engineering, web development, quants and data science. The last one seems to be one where a PhD student can have an edge (over s standard programmer) due to being immersed with different numerical tools (and general research methodology, etc). There are even some courses aimed at PhD graduates, for example Insight Data Science Fellows Program (or BigDive, which is more general, but I wholeheartedly recommend it, as an alumni).

In the case "what are you missing" - I wouldn't split it in 4 paths. Especially as in many places there is no clear distinction between production and R&D (it may depend more on actual company, project, people involved, your drive to learn, etc).

But clearly, you miss whole "free" part related to being a consultant, freelancer or starting your own business.

A nice piece advice on going to industry is here How to leave academia [and go to programming, data science or quants] (at least I've found it valuable).

I guess the question is what you've learnt (some you take for granted, like ability to be manager of your own project), which kind of connections you made, what is the kind of job you would like to work, etc. Then, well, you can think about all jobs, forgetting that you were a PhD (except that additionally you can consider a very few highly academia-related, e.g. science popularization, lab technician).

And then, at least among my friends (and places I am looking by myself) is it is mostly "jobs in tech" - software engineering, web development, quants and data science. The last one seems to be one where a PhD student can have an edge (over s standard programmer) due to being immersed with different numerical tools (and general research methodology, etc). There are even some courses aimed at PhD graduates, for example Insight Data Science Fellows Program (or BigDive, which is more general, but I wholeheartedly recommend it, as an alumnus).

In the case "what are you missing" - I wouldn't split it in 4 paths. Especially as in many places there is no clear distinction between production and R&D (it may depend more on actual company, project, people involved, your drive to learn, etc).

But clearly, you miss whole "free" part related to being a consultant, freelancer or starting your own business.