Associate Data and AI Apps Partnerships Director
Posted Sep 29, 2026 · We last checked this listing on Oct 6, 2026
Likely interview questions for this role
Written from this job description, not a generic list. Each one notes what the interviewer is really checking.
About your past
Tell me about a partnership with a biopharma client that you grew over time.
What they are checking: Whether they can expand relationships across programs and functions instead of closing one deal and moving on.
How would you work with internal data science, legal and product teams to structure a data deal?
What they are checking: Whether they can coordinate many internal partners, since data licensing involves privacy and contract details.
Tell me about a complex deal you closed. Who had to approve it and what nearly stopped it?
What they are checking: Whether they can manage long, multi-stakeholder enterprise sales to completion.
Why are you interested in data and AI partnerships in precision medicine?
What they are checking: Whether they have a real interest in how data shapes drug development, not only in the sales role.
What would you do
A pharma client is interested in AI applications but unsure what problem they solve. How would you help them?
What they are checking: Whether they lead with the client's problems rather than pushing technology for its own sake.
A client says your data costs too much compared with a cheaper source. How do you respond?
What they are checking: Whether they can defend value with specifics like data depth and quality rather than discounting right away.
How would you build an account plan for a large global pharma company?
What they are checking: Whether they think across therapeutic areas, regions and functions when growing a global client.
About the work
How would you describe the value of de-identified multimodal real-world data to a pharma R&D team?
What they are checking: Whether they can tie data to specific uses like target discovery, trial design or label expansion.
What questions would you ask to understand where a biotech is in its drug development program?
What they are checking: Whether they understand development stages and can match offerings to the client's current needs.
What do you know about how pharma companies use real-world evidence with regulators or payers?
What they are checking: Whether they understand the end uses of data that drive buying decisions.
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As published by Tempus AI.