Junior Clinical Trials Data Specialist
Posted May 21, 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 time you had to keep work accurate while priorities kept changing.
What they are checking: Whether they stay careful when workflows shift, since a wrong trial match wastes clinician time and patient hope.
Describe a project where you worked with people from very different backgrounds, like scientists and product staff.
What they are checking: Whether they can communicate across teams, since reports here are built with scientists, pathologists and product developers.
How do you check your own work before a report goes out?
What they are checking: Whether they have a real self-review habit rather than relying on someone else to catch errors.
Why are you interested in clinical trial matching, and what do you hope to learn in this role?
What they are checking: Whether they understand what the work involves day to day and want to grow in it.
What would you do
You find two sources in the record that disagree about a patient's cancer stage. What do you do?
What they are checking: Whether they flag conflicts and look for the most reliable source instead of quietly picking one.
The posting mentions flexible hours. How do you feel about shifts that change based on business needs?
What they are checking: Whether they have honestly thought about the schedule, since flexibility is a stated requirement of the job.
What would you do if you weren't sure whether a patient met an eligibility criterion?
What they are checking: Whether they ask for help on gray areas instead of guessing, which matters in an entry-level clinical role.
About the work
Walk me through how you'd read a patient's clinical record to decide whether they might match a clinical trial.
What they are checking: Whether they can pull diagnosis, stage, prior treatment and biomarkers out of messy records and compare them to criteria.
A trial requires a specific mutation and no prior immunotherapy. What would you look for in the record to confirm both?
What they are checking: Whether they know where molecular results and treatment history usually live and read eligibility criteria carefully.
How would you explain the difference between a germline and a somatic variant to a coworker who's new to genetics?
What they are checking: Whether their biology background is solid and they can explain it simply to non-specialists.
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Practice this out loudThe full job description
As published by Tempus AI.