# General AI interview practice for research and science roles

A general AI interview is the broad, document-free conversation many research and science candidates face before a lab or department shares a specific project brief. It asks about background, motivation, and past decisions rather than testing methodology or statistical reasoning directly.

A postdoc or bench scientist applying across several openings at once rarely gets the same first conversation twice, but the earliest one is often run by a recruiter or a department coordinator rather than the person who will actually run the project. That conversation asks why the candidate is looking, what kind of work they want to do next, and how they describe a past decision, not which statistical test they'd reach for first.

## What this round looks like before the project gets specific

Before a hiring committee sends over an actual project description or invites a candidate to discuss a specific study, many research and science searches open with a shorter screening call. The person on the other end is often not the principal investigator or the technical lead, and the questions stay broad on purpose: why this move, what draws the candidate to the organization, how they'd describe their strongest project without assuming the listener already knows the field. For someone coming out of a postdoc or switching from an academic lab to an industry research group, this round is where a scattered answer about direction can end the process before a scientific interviewer ever gets a chance to ask about methodology.

## What the practice session covers

The general interview type on Intervieux runs with no job posting or resume required, working through the standard round of background, motivation, and behavioral questions that open most hiring conversations, plus a prompt or two about how the candidate handles ambiguity or a decision made without complete information. A dedicated voice agent conducts the session live and follows up on the specific answer given, so a vague line about wanting a change gets pressed for a real reason the way an actual recruiter screen would.

## How the scoring applies to this round

The session is scored across five dimensions, and Communication tends to matter most in a general round for research and science candidates, since this is the conversation testing whether someone can talk about their own direction and reasoning clearly to a listener who isn't a specialist in their subfield. Cultural Fit also carries real weight here, more than it would in a technical session, because a recruiter screen is often checking for baseline fit with the organization before any committee weighs in on the science. Calibration floors and caps keep a smooth-sounding but vague motivation story from outscoring a specific, well-reasoned one, and the penalty for ending a session without asking a question back applies the same way it would in a real screen, where failing to ask anything can read as a lack of real interest in the role.

## Frequently asked questions

### Will a general AI interview ask me about my research methodology?

No. The general interview type sticks to background, motivation, and behavioral questions with no document required. Methodology and statistical reasoning get tested through the technical interview type instead.

### Is this useful if I'm coming straight from a postdoc with no industry interviews yet?

Yes. A general session is a reasonable place to build comfort with a screening-style conversation, especially explaining a career direction, before a specific job posting or resume-based session narrows the practice further.

### How is this different from the comprehensive interview type?

General stays on the standard opening round of questions. The comprehensive type moves across background, technical reasoning, behavioral history, and cultural fit questions in one longer session, closer to a full interview day.

### Does it matter if I ask the interviewer a question at the end?

Yes. The scoring system deducts points for a session that ends without the candidate asking anything back, which mirrors how a recruiter screen often reads a candidate with no questions as less genuinely interested.

## Related pages

- [Research scientist interview questions](/interviews/research-science)
- [General AI job interviews](/features/general-job-interviews)
- [Browse open roles](/jobs)

## Practice the screen that happens before the science gets discussed

Run a general AI interview to build a clear, specific answer for what you're looking for next, before a recruiter or hiring coordinator asks.

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