Why pre-screen antimicrobial resistance researchers before the interview
The gap between a laboratory result and a clinical claim is where this field goes wrong. A resistance gene detected by sequencing may not be expressed, a minimum inhibitory concentration above a breakpoint may still respond at the site of infection, and an isolate collection from one hospital says little about a region. Researchers worth hiring state those limits. A short screen asks what their results did not show.
What actually matters when screening Antimicrobial Resistance Researcher candidates
- 01
Technique and experimental design
Check hands-on command of broth microdilution, EUCAST/CLSI breakpoints, checkerboard synergy assays, time-kill curves, and whether they design studies with proper ATCC control strains and replicates.
- 02
Results that went somewhere
Probe where their findings landed: publications on carbapenemase or ESBL prevalence, surveillance datasets submitted to national programmes, compound screens handed to medicinal chemists, or stewardship policy changes.
- 03
Troubleshooting and reproducibility
Test how they handle contaminated cultures, unstable MIC readings across runs, heteroresistance artefacts, and inconsistent WGS resistance gene calls between tools like ResFinder and CARD.
- 04
Documentation and collaboration
Assess electronic lab notebook discipline, BSL-2 or BSL-3 record-keeping, isolate biobank metadata, and how they coordinate with clinical microbiologists, bioinformaticians, and infection control teams.
Pre-screening questions to ask Antimicrobial Resistance Researcher candidates
12 questions grouped by what they test. Ask the same set in every screen and score answers on a consistent scale, or send them as an async video screen and compare answers side by side.
Research that went somewhere
3 questions01Can you describe past projects where you investigated resistance mechanisms?
Listen forSpecific mechanisms studied with the methods used, and their own contribution described clearly.
Projects described at group level, or mechanisms named without any experimental work behind them.
02How has your research contributed to understanding or tackling resistance?
Listen forOutputs that were used, such as publications, surveillance data or a changed laboratory protocol.
Contribution claimed at field level, or work that produced no output anyone acted on.
03What experience do you have with resistance to newer antimicrobial agents?
Listen forCurrent agents and emerging mechanisms known, with awareness of where surveillance data is thin.
Knowledge limited to long-established agents, or newer mechanisms unfamiliar.
Methods are rigorous
3 questions04What techniques are you proficient in for studying microbial genetics?
Listen forTechniques they performed themselves, with the controls each one requires described properly.
Techniques listed from a laboratory's capability, or controls not mentioned at all.
05Can you discuss your experience with whole genome sequencing in this context?
Listen forGenotype connected to measured phenotype, with the limits of prediction from sequence acknowledged.
Detected genes reported as resistance, or expression and phenotype never verified.
06How have you used bioinformatics tools in your research?
Listen forDatabases and pipelines used with their known gaps understood, and results checked rather than accepted.
Pipeline output accepted at face value, or database limitations not considered.
Studies answer the question
3 questions07How do you design and implement studies to investigate resistance?
Listen forSampling and controls designed for the question, with standardised susceptibility methods applied.
Convenience sampling presented as representative, or non-standard methods used without justification.
08How do you approach data analysis and interpretation in these studies?
Listen forAnalysis planned in advance, with confounding by sampling site and patient population considered.
Comparisons made across incomparable collections, or analysis decided after seeing results.
09How do you handle contradictory data or results in your research?
Listen forContradictions investigated experimentally and reported, rather than resolved by preferring one result.
Inconvenient results excluded, or contradictions omitted from what was eventually published.
Claims stay careful
3 questions10Can you describe your experience studying resistance in clinical isolates?
Listen forIsolate provenance and patient context understood, with collection bias acknowledged in conclusions.
Isolate collections treated as representative, or clinical context ignored in interpretation.
11Can you discuss the public health implications of your work?
Listen forImplications stated proportionately, with the distance between findings and clinical practice made clear.
Laboratory findings translated directly into clinical recommendations, or implications overstated.
12What collaborations have you been part of in this field?
Listen forWork with clinical microbiology or public health teams, with their own role described honestly.
Collaborations listed without contribution, or research conducted with no clinical input at all.
How to score responses
Score every candidate on the same four criteria immediately after the screen. At this stage you are shortlisting for panel interviews, not making the final call.
Technique and experimental design
35%5Names specific resistance mechanisms studied, cites breakpoint standards used, and explains why a given assay design answered the question.
Results that went somewhere
25%5Points to concrete outputs such as a deposited genome set, a lead compound advanced, or a hospital protocol that changed.
Troubleshooting and reproducibility
25%5Describes a specific failure traced to its root cause, plus the control or SOP change that stopped it recurring.
Documentation and collaboration
15%5Keeps traceable isolate and metadata records others can reuse, and cites real cross-team work with clinicians or bioinformaticians.
A gene detected is not a gene expressed, and a plate is not a patient. A one-way video screen asks about the limits.
Try it on HirevireScreening FAQ
Process basics
How long should a pre-screening round for this role take?
Fifteen minutes across eight to ten questions, answered async. Enough to establish research they produced, test their methods, and hear how carefully they interpret and report results.
How much genomics should I expect?
Increasingly a lot. Sequencing is standard in this field now, but check whether they can connect a genotype to a measured phenotype rather than reporting genes as resistance.
Evaluating answers
What is the strongest signal when screening this role?
What their results did not show. Careful researchers state the limits of an isolate collection or an assay without prompting. Anyone whose findings apply broadly has overreached somewhere.
How do I judge their laboratory rigour?
Ask how susceptibility was determined. Real answers name a standardised method, the control strains used and the breakpoints applied. Anything less will not be comparable to other work.
Go deeper on this role
Sanat has been hiring since 2012 and watching the recruitment industry change up close ever since, and turned that screening process into Hirevire's video screening platform. LinkedIn
