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Genetic Engineering Technician interview scorecard

Pre-screening scorecard for Genetic Engineering Technician candidates.

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laboratory applied sciencecell culturecrisprmolecular cloningpcr
Complete evaluation framework

What to assess and how to score it

Review the evidence signals before interviewing. Then use the anchored descriptions—not instinct alone—to choose the score that best matches each answer.

01
Evaluation factor

Technique and experimental design

35% weight

Check hands-on command of cloning workflows: Gibson or restriction digests, CRISPR guide design in Benchling, transfection or electroporation, qPCR primer validation, and Sanger or NGS confirmation of edits.

Evidence to listen for

  • Runs the assays and instruments themselves rather than describing what a team does
  • Designs experiments with controls, replicates, and a stated hypothesis
  • Knows what each technique can and cannot resolve
  • Understands the science, not only the protocol

Five-point scoring guide

1
Poor

Protocol follower with no experimental design; cannot justify controls.

2
Needs Improvement

Runs standard assays; designs experiments poorly or not at all.

3
Satisfactory

Competent at the bench with sound routine design.

4
Very Good

Designs rigorous experiments and understands the limits of each technique.

5
Excellent

Names specific vectors, enzymes, guide design rules and validation steps; explains transfection efficiency and knock-in rates from their own bench runs.

02
Evaluation factor

Results that went somewhere

25% weight

Probe which constructs, edited cell lines or strains they built that others then used: stable clones handed to assay teams, plasmid libraries, or strains scaled into fermentation.

Evidence to listen for

  • Names projects where their results changed a decision, a process, or a product
  • States their own contribution rather than the group's
  • Has taken something from bench to a larger scale, a filing, or a publication
  • Knows what happened to the work after they handed it over

Five-point scoring guide

1
Poor

No results that went anywhere; work is entirely exploratory.

2
Needs Improvement

Contributed to projects but cannot say what their data changed.

3
Satisfactory

Real contributions; outcomes described loosely.

4
Very Good

Names results that changed a decision, with clear personal scope.

5
Excellent

Points to named constructs or clonal lines adopted downstream, with timelines, passage histories and how the edit supported a project milestone.

03
Evaluation factor

Troubleshooting and reproducibility

25% weight

Test how they rescue failures: no colonies after ligation, off-target edits, mycoplasma contamination, primer dimers, low knockout efficiency. Look for systematic isolation of variables, not shotgun repeats.

Evidence to listen for

  • Treats a failed run as information rather than bad luck
  • Isolates reagent, instrument, operator, and biological causes systematically
  • Knows why a result failed to reproduce and can say when their own data was wrong
  • Keeps records good enough to diagnose from months later

Five-point scoring guide

1
Poor

Repeats failed runs unchanged; no diagnostic thinking.

2
Needs Improvement

Troubleshoots by substitution; cannot explain a reproducibility failure.

3
Satisfactory

Solid troubleshooting on familiar assays.

4
Very Good

Systematic isolation of causes, and honest about their own irreproducible results.

5
Excellent

Walks through a real failed edit, the controls they added, the root cause found, and the protocol change that restored reproducible yields.

04
Evaluation factor

Documentation and collaboration

15% weight

Assess ELN discipline (Benchling, LabArchives), plasmid map annotation, sequence file hygiene, biosafety and IBC paperwork, and how they hand protocols to a new technician.

Evidence to listen for

  • Keeps records to the standard the setting requires, whether that is GLP, GMP, or a defensible notebook
  • Writes up so someone else can repeat the work
  • Works with process, quality, or clinical colleagues rather than in a bench silo
  • Explains a result to a non-specialist without overclaiming

Five-point scoring guide

1
Poor

Records would not survive audit; work is not repeatable from them.

2
Needs Improvement

Documentation is thin; write-ups need heavy editing.

3
Satisfactory

Adequate records and write-ups; collaboration is limited.

4
Very Good

Audit-standard records and clear communication across functions.

5
Excellent

Keeps traceable records others can rerun; annotates maps and lot numbers, and has trained colleagues on a protocol they authored.

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