I have my PhD in physics with a background in material science and primarily work in Pharma developing early stage biologics programs (antibodies, gene therapies, etc). That means basically any of the molecules I have worked on are maybe 5+ years away from reaching the market. I don't meet many other physicists in this field, instead it is primarily chemical engineers and biochemists. Even working in industry, I still have the chance to publish and attend conferences though.
this post was submitted on 12 Jun 2023
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I have a MSc and PhD in earthquake engineering and I am working as a senior full stack software developer. Life is weird sometimes.
Social sciences, expert/consultant position. We have our own in-house research, and collaborating with them is always good fun
Cool! So like a company that consults out on social sciences issues for other companies, and you collaborate with your in-house research team to try to answer questions your customers have?
Yeah, kinda. It's a non-profit providing research and offering consultation on the well-being of the population. We also have a service side that provides sexual education, family planning help and relationship counseling. The data from the service side is used in conjuction with wider population data to have a peek at societal trends etc.
working in a cultivated meat startup, msc in biotechnology, but now disillusioned and wanting to do something academic/more down to earth and helpful
That doesn't feel helpful to you?
no, the technology is underdeveloped, and very resource intensive. I don't think it is a viable alternative at all. Better to just eat what grows from the ground than spend so much time, money, energy forcing cells that don't want to grow in such an artificial environment. I've also started to notice how it seems to be quite tied to EA and longtermism crowd, who are investing in it a lot.
True. It could still have benefits from a vegetarian or conservation perspective, though.
Have you thought about trying to get into genetically modified plant crops, then?
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I studied environmental science as a major and am working in hazardous waste site remediation, water and wastewater treatment, and dabble in assisting some civil engineering projects.
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PhD student working in reinforcement learning (the branch of machine learning, not the neuroscience kind). Trying to figure out how to make more general agents, and I'm hypothesizing that making things bigger is a key ingredient.
Bigger seems to have helped so far, yeah, with things like GPT3.5 being based m some really massive models iirc? Happy to have you around!