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Category: Data talent

Digital Skills and Pharma Knowledge: The Ideal, Hard-to-Find IT Talent Combination

3 minutes
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Digital Skills and Pharma Knowledge: The Ideal, Hard-to-Find IT Talent Combination
Reading Time: 3 minutesIT talent with advanced digital skills and pharma expertise is rare yet essential. Pharma companies benefit from hiring external experts, gaining flexibility, immediate access to skills, and cost savings without expanding fixed structures. Discover how hybrid talent can drive innovation and efficiency in this sector.
Antonio Castaño

Autor Antonio Castaño Romero

AI Talent | Data talent | Pharmaceutical Industry | TI Talent
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Trends in attracting and retaining talent in IT/Pharma

2 minutes
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Trends in attracting and retaining talent in IT/Pharma
Reading Time: 2 minutesFlexible compensation is a critical strategy for attracting and retaining IT talent in the pharmaceutical industry. This approach not only enhances employee compensation but also strengthens the company’s position in a highly competitive and technologically advanced market.
Antonio Castaño

Autor Antonio Castaño Romero

AI Talent | Data talent | Future of work | Pharmaceutical Industry | Professional Growth | Talent | TI Talent
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How to implement a Data innovation strategy for the healthcare sector

3 minutes
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How to implement a Data innovation strategy for the healthcare sector
Reading Time: 3 minutesImplementing a data science innovation strategy in healthcare is crucial for leveraging data value and improving decision-making. This article explores the necessary phases, from defining objectives and forming multidisciplinary teams to investing in appropriate technologies and establishing a data governance framework.”
Antonio Castaño

Autor Antonio Castaño Romero

Data talent | Data Training | Pharmaceutical Industry | Talent | Talent as a Service | Technology and Employment | TI Talent
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Talent Acquisition in Pharma: Navigating Uncharted Waters

3 minutes
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Talent Acquisition in Pharma: Navigating Uncharted Waters
Reading Time: 3 minutesThe pharmaceutical industry faces significant transformations driven by technological innovation and global health challenges. In this context, talent acquisition has become a strategic priority, with an increasing focus on attracting and retaining professionals with both scientific and digital skills. Key trends include candidate empowerment, the renewal of corporate culture to incorporate flexibility and mental health support, and the integration of technologies like artificial intelligence and data analytics in recruitment processes. Additionally, the importance of Diversity, Equity, and Inclusion (DEI) initiatives and the need for proactive strategies to attract passive talent are highlighted. By focusing on building a strong employer brand and investing in employee experience, companies can remain competitive and foster innovation in the sector.

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Data talent | Future of work | Talent | Talent as a Service | Technology and Employment
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Is My Job at Risk?

3 minutes
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Is My Job at Risk?
Reading Time: 3 minutesThe article examines the impact of technological advancements and AI on job security, highlighting how professions have evolved throughout history. It discusses the rapid pace of change in modern times, identifying jobs at risk due to automation and AI, such as assembly line workers, customer service, accountants, and drivers. The article emphasizes the importance of continuous education, developing interpersonal and creative skills, adaptability, and considering entrepreneurship to navigate the future job market successfully.
Rafael Palomino Rodríguez

Autor Rafael Palomino Rodríguez

AI Talent | Automation and Jobs | Data talent | Future of work | Professional Skills Development | Technology and Employment
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AI revolution, redefining and reinventing tech talent (part 2)

5 minutes
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AI revolution, redefining and reinventing tech talent (part 2)
Reading Time: 5 minutesIn this second part, we focus on the creation of internationally recognized certifications supporting AI and Data professionals’ knowledge, and the regulated training accessible to future experts. Stay tuned for the final chapter, where we will review organizational certifications validating expertise, security, and ethics in AI.
Antonio Castaño

Autor Antonio Castaño Romero

AI Talent | AI training | Data talent | Data Training | Talent | Talent as a Service | TI Talent
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