What practicing against one specific posting looks like
A candidate applying to a role that lists, for instance, three years of experience with a named assay platform, familiarity with mixed-effects modeling, and prior work under a regulated quality system pastes that exact posting in before starting.
The questions that follow draw from those specific lines rather than research interviewing in general: what the candidate has actually done with that platform, how they'd approach the statistical method the posting names, what working under that regulatory standard looked like day to day.
A candidate targeting a grant-funded academic lab role would paste in a completely different posting, one built around fit with an existing research program instead of an instrument list, and get a session built from that language instead.
What the session pulls from the posting
Once the description is pasted in, the AI reads the specific skills, techniques, instruments, and responsibilities named before asking a single question, then builds the conversation around what that posting is actually asking for rather than a fixed list.
A dedicated voice agent runs the session and follows up on what's said, so a thin answer about a named technique gets pressed further while a strong one moves the conversation on to the next requirement in the posting.
Scoring
How scoring reflects a specific posting
The Technical dimension carries particular weight in a job-description session for a research role, since a posting that names specific instruments or methods gives the AI something concrete to score an answer against, closer to how a real hiring manager reading that same posting would judge whether a candidate's experience actually matches what's written.
Calibration floors and caps apply here as everywhere else, so a candidate who talks around a named technique without describing real hands-on use won't outscore one who answers more plainly but correctly. The written reasoning behind the Technical score explains specifically which parts of the posting's requirements the answers did and didn't address.
Frequently asked questions
Can I paste in a lab posting from a university careers page instead of the job board?
Yes. The interview reads whatever posting text is supplied, a listing from the Intervieux job board, a university HR site, or anywhere else, and builds its questions from that specific text rather than from a fixed list tied to the board itself.
What if the posting names an instrument or software I haven't used?
The interview still asks about it, since the questions come from the posting's own language. That's useful for finding the specific gaps between a posting's requirements and a candidate's actual experience before a real interview does.
How is this different from practicing with my own resume instead?
A job-description interview reads a posting and questions a candidate against that role's specific requirements. A resume-based interview reads the candidate's own document and questions them about their own history instead.
Can I practice against a posting for a role I haven't applied to yet?
Yes. Pasting in a posting's text works whether or not an application has already gone in, which makes it useful ahead of applying as well as after.
Related pages
Practice against the posting you actually want
Paste in a real research or science job description and get questioned on its specific techniques and requirements before an actual hiring manager does.