The decision system
behind high‑conviction
executive hires.
Operator-led executive search for life sciences companies hiring AI, data, and technical leadership into roles where success is still being defined.
We structure the decision before the search begins—so you can hire with total clarity and conviction.
The Problem
Executive hiring has become a decision‑quality problem.
Most executive searches fail because the organization is still defining the role while interviewing candidates. Life sciences companies are hiring AI and data leaders into roles that did not exist a few years ago. Success profiles are still forming. Teams are evaluating candidates with expertise no one internally shares. Traditional search firms respond by sending more profiles and asking the organization to sort it out.
The result is predictable: slow searches, internal misalignment, and hires made on pattern-matching rather than evidence.
Our Approach
We front-load the decision,
then engage the market.
Before contacting candidates, we work with you to define what actually determines whether the hire succeeds: success outcomes, constraints, decision authority, evaluation criteria, and interview architecture. Only then do we go to market.
The result is a decision-ready slate—a small set of candidates you can confidently hire from, supported by structured evidence and explicit tradeoffs.
If the bar is not met, a disciplined no-hire is a successful outcome.
Success Outcomes
Defined up front with you, including the constraints that shape the role.
Structured Evidence
Normalized across candidates so you compare signal, not anecdote.
Clear Tradeoffs
Downside exposure examined openly so risk is understood before a decision.
Decision Packet
Scorecard, calibrated interview structure, and synthesis—everything required to make and defend the call.
Where AI Meets the Science
Many of these roles have existed forever.
But AI just rewrote the job description.
We work with life sciences companies building AI-enabled platforms, computational biology capabilities, and data-driven discovery engines. These companies are often hiring leaders and strategic technical contributors into roles that did not exist inside the organization before.
Many of these roles sit at the intersection of scientific discovery, machine learning, and software engineering—requiring leaders and individual contributors who can operate across disciplines from day one.
When You Call Us
The hires that shape
your company.
We work with life sciences companies hiring AI, data, and computational leadership where the decision will materially shape the company's direction.
Mission
To bring clarity, discipline, and intellectual honesty to the leadership decisions that shape scientific and technological progress.
Why New Circle
Operators evaluating operators.
New Circle was founded by leaders who have run product, engineering, and AI organizations—and who have operated executive search firms ourselves.
We have built AI-driven products, scaled technical teams, and worked inside venture-backed and global technology companies. We have also experienced firsthand the cost of misaligned executive hires and unstructured evaluation processes.
That experience shapes how we run searches. We bring operator judgment, structured evaluation, and disciplined execution to the leadership decisions that shape scientific and technological progress.
Start a Conversation
Tell us what you're
working on.
Whether you have an active search, a role you're still defining, or a leadership decision you're thinking through—we'd welcome the conversation.
We typically respond within one business day.