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I see that the application deadline is April 14 for a program starting June 2. When do the accepted candidates get notified? This would be pretty important for an applicant outside of the bay area.



For anyone who applies before the end of this weekend, we'll be in touch by mid-week next week with decisions on next steps in the process. Final decisions should be made about 1.5-2 weeks after that. We'll move equally quickly for applications that come in next week through to the April 14 deadline.


I'm seriously thinking about applying (actually to the Data Science program). I'm currently looking to start in the SF Bay Area as a data scientist (or data analyst, if need be) in late May to June.

But I have a question -- I've only advanced to the masters level at this point; I recently graduated with an MS in biostatistics. "PhD" and "postdoc" is written all over the site. Should I even consider applying?

Finally -- what's the best way to contact you? Should I email the email address under "Contact"? Or is there a preferred alternative?


The Insight Data Science Fellows Program is currently for PhDs only. If you have enough engineering experience, I would suggest applying to the Data Engineering program, which is open to anyone. If not, then drop me a line at jake@insightdatascience.com and I can see what I can do to help.


Thanks for the response; I'm definitely applying to the Data Engineers program. My engineering background has been more on-the-job than from formal coursework, so I was a bit subdued by list of engineering disciplines in the "Accepting Applicants From" section (though I now see "Scientific Research" as one of the fields, yay!). I really hope I can participate.

eggoa: Sorry for hijacking your reply-thread!


Great to hear. We love skills learned on-the-job. That list is just meant to cast a wide net, so people feel welcome to apply from various backgrounds. The main take-away is that we want people who have the right fundamental skill set, and are not too concerned about which formal discipline they learned it under.




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