Hiring Advice

Unclear AI roles cost drug discovery employers candidates and new hires. Freddy Cruz explains how to define roles, write better job descriptions and run tighter hiring processes.

Discover the AI, biostatistics, regulatory, clinical and data governance talent life sciences companies will need as AI regulation evolves.

Find current machine learning salaries in life sciences for 2026, including benchmarks across the US and London, hiring advice, and the most in-demand AI talent.

Explore how oncology-led drug launches in 2026 are accelerating life sciences hiring across clinical, medical, commercial and operational teams.

Explore the factors driving demand for biologics manufacturing capacity in 2026, from production constraints to investment, expansion and talent needs.

Learn why life sciences automation talent is now key for growth, compliance and scale, and how to approach automation workforce planning more effectively.

re the cost of poor quality in MedTech, key regulatory changes and the quality expertise manufacturers need to protect growth in 2026.

Explore six technology trends changing life sciences hiring in 2026, from AI and automation to digital trials, real-world evidence, manufacturing technology and cybersecurity.

As hiring activity picks up, employers are placing greater emphasis on experience, study ownership and long-term impact, not just job titles. They are also facing a new challenge: distinguishing genuine market disruption from career moves that may have come too quickly.