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Purpose The purpose of this paper is to explore the composition of skillsets in biotechnology from the perspective of employers and its relation to open innovation processes in the sector. It provides conclusions for HR management practice. Design/methodology/approach The study is based on job advertisements content analysis and in-depth interviews with chiefs of research and development companies. It uses biotechnology as an example of industry where open innovation practice implementation is expanding. The authors have used data from American, British and Russian job search engines. Findings It is demonstrated that skills composition required in biotechnology does not vary significantly among selected countries as the market becomes increasingly globalized in terms of not only technology used but also personnel hired. Companies stress more on hard and digital skills, while soft skills appear to be a “must have without saying,” The mismatch between skills presented in the advertisements and articulated in the interviews has been found as employers tend to demonstrate innovation friendly company culture for possible applicants. Originality/value The present paper enriches literature on employee skills for open innovation. It gives comprehensive lists of biotech skills in-demand divided into hard, digital and soft categories and interprets them within the context of employee cognition and behavior. The new insight into employee skills articulated by the companies as a strong element of organizational culture is presented.

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The article presents a survey of Russian researchers’ synchronous international scientific mobility as an element of the global system of scientific labor market. Synchronous international scientific mobility is a simultaneous holding of scientific positions in institutions located in different countries. The study explores bibliometric data from the Web of Science Core Collection and socio-economic indicators for 56 countries. In order to examine international scientific mobility, we use a method of affiliations. The paper introduces a model of synchronous international scientific mobility. It enables to specify country’s involvement in the international division of scientific labor. Synchronous international scientific mobility is a modern form of the international division of labor in science. It encompasses various forms of part-time, temporary and remote employment of scientists. The analysis reveals the distribution of Russian authors in the space of affiliations, and directions of upward/downward international scientific mobility. The bibliometric characteristics of mobile authors are isomorphic to those of receiver country authors. Synchronous international scientific mobility of Russian authors is determined by differences in scientific impacts between receiver and donor countries.

This article focuses on the demand for skills of highly qualified scientific and technical professionals (engineers and researchers) in robotics, on both a global and national level. Information is collected using the text-mining of open-access vacancies for understanding the global trends and in-depth interviews with experts for a more detailed study of national trends. The study explores the combination of hard and soft skills, as well as interdisciplinary skills. Soft skill requirements play an important role in the demanded skill set of the specialist, but the claims for hard skills (including digital) are not becoming less strict. Programming and the knowledge of specialized software packages are the most important skills, but must be combined with practical skills (assembly, welding, soldering). The broad range of application areas for robotic systems creates demand for new multidisciplinary skills (knowledge of artificial intelligence, new materials, and biology). Rapid technological development underlines the growing importance of soft skills, such as communication skills, self-motivation, and a willingness to learn. Lists of the most demanded skills in different countries principally coincide. Results can be applied for developing policies aimed at eliminating the skill gap in prospective technological areas.