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Leadership · 4 min read

Hire Scientific Leaders for Judgment, Not Just Track Record

In drug development, outcomes are noisy and credit is shared, so what deserves the closest look in a scientific leader is how they make decisions.

September 8, 2026Proxima Vita
A single executive chair at the head of a long stone table

A scientific leader's CV tells you where they have been. It tells you much less about how they will decide when the data is ambiguous, the budget is fixed, and the board wants an answer by Thursday.

Track record matters. In drug development, though, it is an unusually noisy signal. Programs succeed or fail for reasons that have little to do with any one person: target biology that was never going to translate, a competitor that read out first, a financing window that closed at the wrong moment. Credit and blame are spread across large teams and long timelines. A leader attached to an approval may have joined in the final year. A leader attached to a failed program may have made every call correctly.

Why outcomes mislead

When a hiring committee leans too heavily on outcomes, it tends to make predictable mistakes. It overvalues candidates from well-resourced organizations where success had many contributors. It undervalues candidates whose best decisions were to stop programs that should not have continued. And it mistakes fluency in the language of success for the capacity to produce it.

The problem compounds at smaller companies. A first head of research or first CMO will make many consequential calls with limited data and no one above them positioned to catch an error. In that setting, a polished record built inside a large organization can conceal how much of the judgment belonged to the system around the person.

The more useful inquiry is what a candidate understood at the time, what they decided, and why. Judgment is visible in the reasoning, even when the result was out of anyone's control.

What good judgment looks like

Judgment is easy to praise and hard to define. In practice, the scientific leaders that CEOs and boards trust most tend to share a handful of habits.

  • They separate what the data shows from what they hope it shows, and they say so plainly.
  • They decide in advance what result would change their mind, before the experiment reads out.
  • They make stop decisions early enough to redeploy capital and people, and they can explain the cost of waiting.
  • They know which decisions are reversible and move quickly on those, while slowing down on the ones that are not.
  • They bring bad news to the CEO and board promptly, with a recommendation attached.

None of these habits depend on a particular pedigree. All of them shape whether a company spends its next financing well, whether it reaches a Phase 2 readout with a clean question, and whether its best people stay.

Judgment is visible in the reasoning, even when the result was out of anyone's control.

How to assess it

Judgment can be assessed, but rarely through standard competency questions. It calls for conversations built around real decisions, with room for follow-up.

Ask candidates to walk through a program they recommended stopping. Listen for when their doubts began, what evidence moved them, and how they brought others along. Ask about a decision they got wrong and what they would do differently with only the information available at the time. Strong candidates distinguish a bad decision from a bad outcome without being prompted.

A case discussion can also be revealing. Share a realistic, anonymized program scenario, perhaps an ambiguous efficacy signal alongside an emerging safety finding, and ask how they would frame the next decision for a board. You are not looking for the right answer. You are looking for how they structure uncertainty, which questions they ask first, and whether they are honest about what they do not know.

References deserve the same discipline. Instead of asking whether someone was effective, ask referees to describe a specific difficult call the candidate made, how they handled disagreement, and whether they changed their view when the data changed. Former peers and direct reports often add detail that former managers miss.

None of this means track record should be set aside. Experience with an IND, a Phase 2 readout, or a difficult regulatory interaction shortens the learning curve and earns credibility with investors and investigators. The point is to treat track record as context and to make judgment the thing you are actually hiring for. A CV tells you where a leader has been. Judgment tells you what they will do next.

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