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Ben Shoshan

What Does High Performance Really Mean?

We talk a lot about high-performing teams – but have you ever stopped to ask what that actually means?

High performance is no longer about performing pressure or perfection. It’s evolved to mean creating the conditions where people perform – possibly beyond their potential – purpose-led, empathic, and accountable. It’s an environment where technology amplifies rather than replaces human capability. In today’s AI-enabled world, that matters more than ever.

A biotech leader responsible for sales growth once asked me, “Why can’t we just tell our teams: ‘This is your target; now get on with it and deliver’?”

It’s an understandable reaction under intense pressure to deliver life-saving innovation, meet regulatory deadlines, and justify investment. But humans aren’t machines. In many innovation-driven sectors, like biopharma, outcomes depend on collaboration, creativity, and trust – the very qualities that rarely feature on performance dashboards or OKRs. Until we start measuring what truly drives high performance, we’ll keep rewarding output over impact.

The Human Factor

The pandemic taught us something profound: humans thrive on connection. Forbes Business Council cited a report that "94% of employees are more productive when they feel connected to their colleagues." Strip away face-to-face interactions, and you erode trust, energy, and collaboration.

As we navigate today’s world – what futurists call BANI (Brittle, Anxious, Non-linear, Incomprehensible) – the need to support, motivate and inspire the human side of work has never been greater.

Hybrid and remote teams bring flexibility but also new challenges. Leaders must design rituals, norms, and systems to preserve trust and psychological safety across distributed teams. In life sciences, whether it’s aligning cross-functional teams, navigating complex supply chains, or engaging stakeholders, people are at the heart of every breakthrough. To deliver their best, they need the right conditions: clarity, purpose, and a culture of trust.

Why We Can’t Automate Success

AI is transforming the industry – from accelerating drug discovery to streamlining clinical trials.

Yet, for roles requiring human connection, such as engaging regulators, building partnerships, or managing teams, automation falls short. These roles demand human skills:

• Building rapport with stakeholders
• Empathic listening to foster trust and collaboration
• Storytelling that communicates complex ideas with clarity and impact
• Strategic questioning to uncover hidden opportunities

These are deeply human capabilities, and they flourish only when individuals feel confident, creative, and supported.

The Neuroscience of Leadership

Simon Sinek explains in Why Leaders Eat Last how leadership shapes team dynamics through trust. When people feel safe, their brains release oxytocin, boosting creativity and collaboration. Conversely, environments of fear or stress flood the brain with cortisol, shutting down problem-solving and innovation.

In life sciences, where decisions impact lives, the stakes are high. Teams thrive when leaders proactively create environments that foster trust and purpose. The neuroscience echoes the research on emotional intelligence: mission-driven teams in nurturing cultures consistently outperform those operating under fear-based management.

Balancing Leadership Roles

Miles Downey identified three critical roles leaders play:

  1. The Visionary Leader – Provides purpose and direction.
  2. The Manager – Ensures execution and accountability.
  3. The Coach – Develops the team’s potential and resilience.

These roles often conflict. Imagine a biotech leader managing a critical R&D project while trying to support their team’s growth. Balancing immediate deliverables with long-term development isn’t easy, but it’s essential for sustained success.

Building High-Performing Teams in Life Sciences

How can life science leaders create the right conditions for performance success?

  1. Anchor in purpose: Reinforce the mission regularly – whether it’s improving patient outcomes or advancing scientific discovery. A clear purpose aligns teams across disciplines.
  2. Create psychological safety: When people feel safe to share ideas or admit mistakes, innovation thrives. This is especially crucial in cross-functional teams navigating complex challenges.
  3. Recognise human skills: Celebrate empathy, creativity, and collaboration alongside technical achievements. These skills drive innovation as much as scientific expertise.
  4. Coach more, manage less: Help team members connect their daily tasks to the organisation’s broader mission. Purpose-driven teams are more engaged and resilient.
  5. Lead with emotional intelligence: EQ isn’t a buzzword – it’s a leadership imperative. Building trust and adaptability equips teams to navigate uncertainty with confidence.
  6. Use AI tools to do more faster: Enhance insight, accelerate analysis, and free time for human creativity – but always couple the output with context, curiosity, and good judgment.

Beyond the Profit Motive

In life sciences, of course, profit is essential, but it’s not the end game. As Peter Drucker said, “Profit is like oxygen; there is no life without it… but it is not the reason for living.”

Dan Pink puts it another way: “When the profit motive becomes unmoored from the purpose motive, bad things happen.”

Successful life science leaders understand this balance, focusing on purpose-led outcomes – patient lives, scientific progress, and societal impact.

The Bottom Line

In complex and high-stakes fields, success depends on more than setting targets and pushing for results. It requires leaders to find new ways to deliver human performance.

Leadership today is no longer just about vision to results; it requires empathy, emotional intelligence and kindness. Extraordinary leaders inspire and motivate. They act as leader-coaches, confidently giving and receiving feedback, empowering their teams, and setting clear expectations.

To the leader who asked, “Why can’t they just get on with it?” – the answer is simple: because your people are not machines. And that’s precisely why they’re capable of extraordinary things.

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