Why pre-screen biotech researchers before the lab interview
Reproducibility is the practical problem in this field. A result that appears once and does not return costs months, and the cause is usually a reagent lot, a passage number, or a step that was recorded loosely. Researchers worth hiring run controls as routine and can describe a result of their own that failed to replicate. A short screen asks for that, which publication records and technique lists cannot show.
What actually matters when screening Biotech Researcher candidates
- 01
Technique and experimental design
Probe hands-on command of specific platforms: CRISPR editing, qPCR, Western blot, flow cytometry, mammalian cell culture, and how they design controls, replicates and dose ranges.
- 02
Results that went somewhere
Ask which of their results advanced a program: a lead candidate nominated, an assay transferred to QC, a patent filing, or a first-author publication.
- 03
Troubleshooting and reproducibility
Test how they chase failing experiments: contaminated cultures, mycoplasma, inconsistent transfection efficiency, drifting standard curves, or a knockdown that will not reproduce across passages.
- 04
Documentation and collaboration
Look for ELN discipline (Benchling, LabArchives), SOP authoring, sample and freezer inventory tracking, and how they hand off methods to bioinformaticians or process development.
Pre-screening questions to ask Biotech 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.
Their own contribution
3 questions01Can you provide an example of a challenging research project and how you addressed it?
Listen forA project with their own experiments identified, including what did not work and how long it took.
Project achievements described collectively, or no failed approach mentioned in a difficult project.
02Have you authored or co-authored research papers? Can you elaborate on one?
Listen forTheir specific contribution stated, with the figures or experiments they generated identified.
Publication counts quoted with no role, or an inability to describe what they contributed.
03Can you describe your experience with sequencing technologies?
Listen forLibrary preparation and quality control performed by them, with an understanding of what fails at each step.
Sequencing sent to a facility with no involvement, or data analysed with no view of how it was generated.
Reproducible technique
4 questions04Can you describe your experience with cell culture techniques?
Listen forSterile technique with contamination checked routinely, and passage number and cell line provenance tracked.
Contamination discovered only when cultures fail, or cell line identity never verified.
05Have you worked with gene-editing technologies?
Listen forEditing performed with off-target effects assessed and clones verified rather than assumed.
Editing efficiency claimed with no verification, or off-target effects never checked.
06Can you describe your experience with protein purification and analysis?
Listen forPurity and activity both assessed, with a purification that failed and what they changed.
Purity claimed from a single method, or activity never checked after purification.
07What techniques do you use for nucleic acid extraction and quantification?
Listen forQuality assessed beyond concentration, with inhibitors and degradation considered for difficult samples.
Concentration used as the only quality measure, or downstream work performed on unchecked material.
Troubleshooting failure
2 questions08Can you describe a time when you had to troubleshoot an experimental problem?
Listen forSystematic elimination across reagents, samples and technique, with the cause confirmed rather than assumed.
Experiments repeated unchanged hoping for a different result, or the cause never established.
09How do you ensure accuracy and precision in your experimental work?
Listen forControls and replicates run as routine, with a clear rule about discarding a run whose controls failed.
Results reported from runs with failed controls, or replicates dropped because they were inconvenient.
Records others can use
3 questions10How do you manage and organise your research data?
Listen forRecords complete enough for another person to repeat the work, with reagent lots and deviations noted.
Notebooks written up later from memory, or raw data held only on a personal machine.
11What safety protocols do you follow when handling hazardous materials?
Listen forContainment and disposal described specifically, with a risk assessment before unfamiliar procedures.
Safety described as following instructions, or no occasion where they paused an unfamiliar procedure.
12How do you approach collaboration across disciplines in your research?
Listen forReal work with computational or clinical colleagues, including a finding they revised after being challenged.
Collaboration described as sending samples, or no challenge to their interpretation they have accepted.
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 exact protocols, antibody clones and cell lines used, and justifies control arms, n numbers and statistical power without prompting.
Results that went somewhere
25%5Traces specific data they generated to a downstream decision, milestone or paper, with dates, collaborators and their own contribution clearly bounded.
Troubleshooting and reproducibility
25%5Describes a systematic isolation of variables, records what fixed it, and shows reproducibility data across independent runs or operators.
Documentation and collaboration
15%5Keeps records another scientist can rerun from, has written SOPs adopted by peers, and communicates raw data caveats honestly.
A result that appears once and does not return costs months, usually for a recordable reason. A one-way video screen asks about one that did not replicate.
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 their own contribution, test their bench technique and troubleshooting, and check record keeping.
How should I read their publication list?
As evidence of participation. Ask what they did on two specific papers: which experiments were theirs, what they wrote and whether they would be able to repeat the work today.
Evaluating answers
What is the strongest signal when screening this role?
A result that did not replicate. Careful researchers have one and can describe how they tracked down the cause. Anyone whose results have all held up either has not repeated them or is not saying.
How do I judge their technique?
Ask what controls they run and why. Real answers name the specific control for each assay and what a failed control means. Anyone who describes controls generally has been following a protocol.
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
