A global perspective on evolving bioinformatics and data science training needs.

Area of Science:

• Life Sciences
• Bioinformatics
• Computational Biology

Background:

• Bioinformatics is crucial for modern life science research.
• A persistent gap exists in essential bioinformatics expertise within life science education.
• This deficiency leads to a demand for bioinformatics training across all career stages.

Purpose of the Study:

• To review global bioinformatics and computational training needs.
• To identify key findings from recent worldwide surveys on training requirements.
• To highlight the most pressing demands for bioinformatics education.

Main Methods:

• Review of principal findings from recent worldwide surveys on bioinformatics training needs.
• Analysis of reported demands for bioinformatics education and skill development.

Main Results:

• A strong demand persists for short courses to enhance data analysis and interpretation skills.
• The most critical need identified is the integration of bioinformatics into core life science degree programs.
• Existing training initiatives are insufficient to meet the growing demand.

Conclusions:

• Addressing the bioinformatics training gap requires a global, concerted effort from stakeholders.
• Sustainable solutions must transform educational curricula and foster new trainer scientists.
• Integrating bioinformatics into degree programs is paramount for future life scientists.