Mark Bayer

It becomes even more difficult. And then people do realize that this just isn't the type of maybe work I want to do. I want to do something that is maybe more tied to maybe instead of basic research, which of course is fundamental, really, we're trying to figure out fundamental questions. It's not basic, like easy. It's so critical.

It becomes even more difficult. And then people do realize that this just isn't the type of maybe work I want to do. I want to do something that is maybe more tied to maybe instead of basic research, which of course is fundamental, really, we're trying to figure out fundamental questions. It's not basic, like easy. It's so critical.

They say, I want to do something where I'm applying the research in ways that are different So there are a variety of reasons why people don't stay in academia. I think the whole academic model in the U.S. has been going through a lot of change as well. Then people, sometimes they get to the end of their program. I had a student in my online course who decided she was really sharp.

They say, I want to do something where I'm applying the research in ways that are different So there are a variety of reasons why people don't stay in academia. I think the whole academic model in the U.S. has been going through a lot of change as well. Then people, sometimes they get to the end of their program. I had a student in my online course who decided she was really sharp.

She had come over from China. She had gone to Johns Hopkins. She had excelled. She had then gone to University of Chicago. She worked in the lab there, really a superstar. And she decided she wanted to go work for a life sciences company in the Chicago area.

She had come over from China. She had gone to Johns Hopkins. She had excelled. She had then gone to University of Chicago. She worked in the lab there, really a superstar. And she decided she wanted to go work for a life sciences company in the Chicago area.

And her challenge really was how to translate the skills that she had developed in the lab in a way that was relevant and that resonated with, say, the managing partner that she was talking to during the interview. And so that can be a challenge too, because people think, what am I trained to do?

And her challenge really was how to translate the skills that she had developed in the lab in a way that was relevant and that resonated with, say, the managing partner that she was talking to during the interview. And so that can be a challenge too, because people think, what am I trained to do?

And the answer is you are trained to do so much by just your analytical framework, your thought process, how you approach problems and challenges that are really difficult. And I think sometimes PhDs lose track, lose sight of that for a little bit. They think it's the subject matter people care about.

And the answer is you are trained to do so much by just your analytical framework, your thought process, how you approach problems and challenges that are really difficult. And I think sometimes PhDs lose track, lose sight of that for a little bit. They think it's the subject matter people care about.

Why is this life sciences firm going to care about machine learning for early detection of skin cancer? And the answer might be they don't really care about that very much. But just think about how you approach solving that problem and how you deal with different setbacks and creating hypotheses and then really testing them. There was a recent article in Inc. Magazine.

Why is this life sciences firm going to care about machine learning for early detection of skin cancer? And the answer might be they don't really care about that very much. But just think about how you approach solving that problem and how you deal with different setbacks and creating hypotheses and then really testing them. There was a recent article in Inc. Magazine.

I think it was basically Adam Grant was saying scientists like you have this analytical framework. You've been trained in how to think. And that is so valuable regardless of what career you decide to take on.

I think it was basically Adam Grant was saying scientists like you have this analytical framework. You've been trained in how to think. And that is so valuable regardless of what career you decide to take on.

yeah for sure i want to just underline something you said there vince because i think a lot of people forget like you were talking about resilience if you think about knowledge skills and attributes like the knowledge might be this skin cancer you can drill down and the machine learning but the attributes like resilience this person i gave the example of who came from china that went to hopkins in new chicago like the ability to handle ambiguity

yeah for sure i want to just underline something you said there vince because i think a lot of people forget like you were talking about resilience if you think about knowledge skills and attributes like the knowledge might be this skin cancer you can drill down and the machine learning but the attributes like resilience this person i gave the example of who came from china that went to hopkins in new chicago like the ability to handle ambiguity

all these different things that are part of your makeup. I try to also have PhDs think about that too, because as you suggest, you're saying those are really important in the working world as well.

all these different things that are part of your makeup. I try to also have PhDs think about that too, because as you suggest, you're saying those are really important in the working world as well.

I think some of the gaps that people have are ones that you would probably expect because the writing, for example, that you're doing in a scientific environment, you're writing if you want to try to get published in a journal, for example. It can be very technical, very jargon heavy. I'm sure your listeners are familiar with the perils of using jargon.

I think some of the gaps that people have are ones that you would probably expect because the writing, for example, that you're doing in a scientific environment, you're writing if you want to try to get published in a journal, for example. It can be very technical, very jargon heavy. I'm sure your listeners are familiar with the perils of using jargon.