Messages for others thinking about a career in science
Video clip: Molly says that it helps if you ‘really, really care about getting the answers to the questions that you’re interested in’. She thinks that curiosity and hard work lead to success.
I mean I think this applies not specifically to women but just to anyone who’s thinking about a career in science, you know it’s not for the faint of heart. It’s something that you have to really love and to be successful I think in science you have to, well it helps if you really, really care about getting the answers to the questions that you’re interested in. And also really enjoy asking the questions but you know if you’re the kind of person who if you have a new dataset and it’s Friday at 5pm, are you the person who really wants to know what your data is going to tell you, and you’re going to dive into that or are you going to go to a party? You know the, the people that I have seen succeed are the people who are really driven by that.
And maybe that’s unhealthy. Maybe, you know in terms of work: life balance that’s probably not very healthy, but there are always going to be people like that. And there are always going to be people who will choose to work and those are the people that you will be competing with, and so it’s kind of a natural product of, of that individual variability that the people I see who are successful are really driven in that way, and just really are deeply curious. I think curiosity is the number one criteria. And, and I see that in my students you know, and, and when I see students maybe who are at the masters level, who display this quality, those are the ones that I really especially encourage to pursue it further because I think that’s, that’s predictive of, of success is, is, is caring about the process and not wanting to be a scientist because you want recognition or because you want you know you like the lifestyle or you know obviously people aren’t in it for the money so, yeah.
If, if you love it and you know you are in your element when you’re looking at a dataset or you’re reading some paper thinking about some idea that excites you, that’s, that’s great.