Young, talented and fed-up: scientists tell their stories

The problem I faced - and still am, to an extent - was that during my PhD I was given no support or really any information at all about the possibility of a life and career outside of academia. I was fortunate enough to be offered a postdoc position in the same group that I did my PhD (particle physics) before I’d actually submitted my thesis. However 6 months later I desperately needed a change and managed to find another postdoc as a research scientist in the Medical Physics department of a cancer hospital.

Medical physics research has felt more fulfilling than particle physics, but I’m now in a position where my current contract expires in around 9 months, and with a mortgage to pay and a family to support I have to decide between: looking for yet another short-term postdoc position (in a hopefully related field of physics) - ending up in exactly the same position in 2-3 years; starting to apply for grants and funding with my current research group - a very stressful process with no guarantees of anything; moving into industry / private sector - assuming that it’d be possible to find a company that had a need for the very specific knowledge base and skills that developed over the past 7 years.

Or all of the above, at the same time, while trying to continue working my current research projects.

As someone that has always had an interest in computing, data analysis and software, but has ended up approaching them from a physics-based direction, I don’t feel qualified to compete with computer science/statistics grads for most of the software development or data science jobs that I see advertised.

I'm sure that there are other fields out there that would suit me, but having never had a non-academic-research job, I'm struggling to know where and what to look for. Does anyone have any practical advice for moving away from an academic career path?

>I don’t feel qualified to compete with computer science/statistics grads for most of the software development or data science jobs that I see advertised.

I suspect you are more qualified than most oracle-developer-turned-data-scientists

Give it ago. review some of open source projects that can leverage your math or data understanding skills. Contribute to those. Use that as your experience/resume

I am finishing up my postdoc now. I went back to do a PhD from IT because I loved the field I was entering and ended up really enjoying my PhD. I learnt a lot, got exposed to some great minds, and raised the bar for my own standards of quality, efficiency and intellect. But now, after two years of a postdoc for a tenure track professor in the US, my academic dreams have unravelled. I am looking for jobs in industry even though I am being encouraged for academic track.

From my experience, it seems like the classic scientific research method of the old guard who I was mentored by is fading. The greats in my field would concentrate on one topic, work slowly, wrap it up, move to a new topic, and cultivate protoges. Now, the people securing tenure-track and tenure all seem to have half a dozen diverse projects to start with (to see which one suceeds and look hungry) - I see a lot of corner-cutting in their research - being bold is rewarded over detail and care.

Most of my peers whom I respect for their research output and well-roundedness haven't made the cut for academia. A cynical sure fire recipe for making tenure in academia? 1. Have a great knack for politics; 2. put yourself ahead of your students by treating them as monkeys for publishing with no regard for their scientific development; 3. cut corners (tell yourself you will fix it when you get tenure); and 4. be a narcissist - you can't afford to do anything that doesn't impact your track record positively (outreach counts!). That is not to say there are not some great people who have got positions - but the criteria for who makes the cut has changed sufficiently that it feels like it is being played by those who are willing to play the rules of the game. The worst part is that there is rarely any consequence down the line - once you have secured enough funding the community overlooks all but most severe transgressions.

OT: pics of lab?