Hi all, Thank you so much for this thread.
Over the past six or nine months, I have seriously considered applying for such non-tenure track, teaching-heavy faculty positions in "data science" (mainly after being approached and encouraged to do so). I have eventually decided to "follow Titus' advice (i.e. don't go to academia)" for plenty of reasons (as you can imagine). One reason I'm happy to share publicly is that academic-style résumés (CV) are expected to be *append-only* and this alone is a major turn-off for me. I'd like to second Eric's message. I'm currently in batch at the Recurse Center (https://www.recurse.com/), which is conducive to this kind of brainstorming, thinking, and assessment. What I'm now seriously considering is creating a small company in data science services (team-based, team-powered consulting). If you'd like to work with me, please come and find me at SciPy and/or EuroSciPy this year! :D Cheers, Marianne On Sun, Jun 17, 2018 at 5:19 PM, ericmajinglong via discuss <discuss@lists.carpentries.org> wrote: > Hi everybody, > > Shifting the topic slightly to more pragmatic things for current PhD and > post-doc trainees. > > For what it's worth, in industry, there occasionally opens up academic-style > positions (albeit without tenure guarantees). This is how it is like at > NIBR. We conduct research that leans towards basic (but not as basic as > academic work) and can be published, and we have opportunities to continue > engagement the open source communities, including software releases and > contributions back to other code bases (I am working on stuff with autograd > + CuPy; colleagues work on RDKIT). In work with colleagues, I have found > opportunities to share Carpentry practices (e.g. version control, logical > directory structures for projects, git workflows). > > Not to say that this is all rosy and everything; whether I can still go to > work the next day depends heavily on whether Novartis (our parent company) > makes enough money. I also have to do the yearly corporate stuff - > professional development reviews etc. Thankfully, though, we seem to be > quite sheltered from the corporate pressures compared to other pharma (with > the usual qualification that this is a general feeling, and I have not taken > the time to find data to support this). > > For the PhD students and post-docs willing to follow Titus' advice (i.e. > don't go to academia), be sure to ask incisive questions at the companies > that you interview at. They're as much interviewing you as you are > interviewing them. If their culture won't support your values, you might > find yourself happier at a different place. Insight Data Science, which I > went through as a Fellow in 2017, helped me crystallize what really made me > happy at a place to work. > > Ok, I should leave it at this point. Good luck to those looking for > positions afterwards! If you're in the Boston area, I'm always happy to grab > coffee to chat. > > Cheers, > Eric > The Carpentries / discuss / see discussions + participants + delivery > options Permalink ------------------------------------------ The Carpentries: discuss Permalink: https://carpentries.topicbox.com/groups/discuss/T3ef4c474f5e89e6f-M13967f7801e150244ba4957d Delivery options: https://carpentries.topicbox.com/groups
