Is learning ML during a postdoc actually worth it?
I'm a PhD who recently defended and am about to start a wet lab postdoc in cell therapy/LNP delivery. I worked in industry before grad school and plan to go back after my postdoc. Long term I've been looking at process development and analytical roles, but I'm not locked in, and I'd rather not be limited to cell therapy just given the job market.
I've been reading a lot of the AI-guided design papers in my field, and one thing I've noticed is that a lot of the models and packages are off the shelf. The harder part seems to be deciding what data to collect, defining the right objective, and knowing whether the results actually mean anything.
That makes me wonder if I'd get more out of learning to use these tools well than trying to become an ML expert. But I'm not sure if that's a genuinely useful skill set in industry or just a way to make myself feel better about not being an AI research scientist lol.
I'm thinking about spending the next 1–2 years learning Python, building analysis pipelines, getting better at DoE and statistics, and learning enough ML to build and evaluate models. I'd be doing this alongside my postdoc, so time is limited.
For people working in biotech or techbio, a few questions:
- Does having computational skills alongside wet lab experience actually help with hiring? Or do most companies still separate people into modeling roles that go to CS/ML backgrounds and experimental roles that go to bench scientists?
- How much does having a published paper where you did the computational work yourself matter? Is being able to use these tools and talk through your decisions enough, or do you need something concrete to show for it besides a github repo?
I think I want to be more useful at the intersection of experimental biology and computation when I go back to industry (and if that is valued at all). I'm trying to figure out if this is worth putting evenings into over the next couple of years, or if that time would be better spent developing other skills. Would appreciate hearing from people who've made a similar transition!