In a research scientist interview, you'll be expected to show that you have the necessary technical knowledge and expertise pertaining to the specific position you're applying for. Some of the common topics include basic statistical methods, machine learning concepts, and case study analysis. Also, the interviewer will most likely assess your communication and interpersonal skills, which are essential for effective teamwork and funding acquisition.
Coding - The questions were on Codility. There were two coding questions and I had 60 minutes to finish them. Interview - Previous machine learning projects - Machine learning questions: L1/L2 regularization; parametric/non-parametric learning algorithm - Discuss some possible solutions for projects
Questions around the drug discovery process and medicinal chemistry
How do you deal with mistakes?
The questions were very straightforward and were not difficult.
Fühlen Sie sich bereit, eine Abteilung eigenständig aufzubauen?
¿por qué quieres trabajar aquí? cuéntame el último proyecto en el que has trabajado en el máster qué sabes de FAES FARMA cómo te definirían antiguos compañeros
Tell me your previous data science projects
What do you know about our company?
self introduction and what you know about kewmann and the position.
Questions mostly focussed on data engineering skills
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