Career Guide 

Time management for scientists

Many scientists juggle dozens of tasks and projects at the same time. Adopting effective time management strategies can be a challenge. It’s important to strike a healthy work-life balance. Here’s a guide to getting it right.




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Latest training



Nature Masterclasses is a professional development training platform that offers on-demand courses for researchers. The online courses are between 3 and 8 hours long, with the content presented in bite-sized chunks that fit into busy schedules.

Topics covered range across the entire research cycle from designing your experiments, to applying for funding, interpreting your results and writing them up in a research paper. You can find some of their courses below but check out their website for the entire portfolio.


This course shows researchers how to get an academic research position that suits them perfectly. It helps them find, select and apply for suitable roles, send tailored applications, and impress potential employers at interviews.





This course teaches researchers the skills to identify knowledge gaps (eg, via literature review), write a clear, novel research question, formulate the corresponding hypothesis and select the methods, protocols, tools and techniques best suited to test the hypothesis.





This course shows researchers how to search, prioritise and select funding opportunities that best fit their personal and professional circumstances and research needs.





This course explains to researchers how to use narrative tools to create grant applications that resonate with the audience - the chosen funder. Researchers discover how narrative tools can improve the quality of their grant applications, how understanding their funder helps them align their research question with their objectives and how to apply narrative tools across their grant applications to make them more informative and persuasive.


This course helps researchers to explore their data and choose appropriate analytical methods and statistical tests. It also helps them understand how to confirm their results, troubleshoot their analyses, present their findings and express their limitations so they are fully confident in performing their data analysis.






This course supports researchers in contextualising their findings and drafting their interpretation while avoiding common pitfalls, as well as determining the next steps if their results are unexpected.