Meditation on a Caltrain: Understanding where to travel to next

Exploring options and thinking laterally about where you can use your scientific skills might be the key to successfully transitioning into industry, learns George Busby.

This piece was one of two winners of the Science Innovation Union writing competition, Oxford.

“This is downtown San Francisco, our train’s final stop. Can all passengers please detrain? All detrain please. All detrain.” Perhaps it was the heady fug of jetlag that made this broadcast particularly amusing to my UK-English language sensibilities, but I “detrained” all the same and stepped into the crisp morning air of the Californian rush hour.

I was on the west coast to visit two genetics start-ups as part of a whirlwind three-day tour of the US. With a long postdoc and several first author papers tucked into my belt, I wanted to see if these credentials would pass muster in the tech haven of Silicon Valley. I’ve always found the loneliness of solo work-travel to be highly amenable to strategic thought, and this American adventure was an opportunity to reflect on why I was there and what I wanted.GettyImages-530306679-smaller

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#scidata16 keynote highlights: “Research data management for early career researchers”

Data management is a crucial component of scientific research and one that should be tackled by early career researchers before they become swamped with data, says Erica Brockmeier.

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PhD students and early career researchers have a lot on their to-do lists, everything from writing papers and applying for grants to staying on top of the latest findings in their field. The third keynote of the #scidata16 conference highlighted yet another important facet of a research career: data management. Kevin Ashley, based at the University of Edinburgh, gave a thought-provoking presentation on this topic. As director of the Digital Curation Centre in Edinburgh, Scotland, Mr. Ashley and his team provide advice, guidance and training for researchers, alongside consultancy services on all aspects of data management and data reuse. Continue reading