Interview scorecard template

Biopharmaceutical Scientist interview scorecard

Evaluate Biopharmaceutical Scientist candidates across 4 weighted areas: technique and experimental design, results that went somewhere, troubleshooting and reproducibility, and documentation and collaboration. Technique and experimental design leads at 35%, so probe the analytical and process techniques they run themselves, plus the molecule classes they have worked on. Use the rubric to compare role-specific evidence consistently.

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laboratory applied scienceanalyticsbiopharmaceuticaldrug developmentgmp
TL;DR
For technique and experimental design, look for evidence the candidate runs their own analytics and process work on real molecule classes, with sound experimental design behind it. For results that went somewhere, look for evidence the candidate names work that fed a filing, transfer, or clinical decision, with their own contribution clearly stated. Apply the written 1–5 anchors to every answer, record the evidence behind each rating, and use the factor weights to reach a consistent overall assessment.
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

Probe the analytical and process techniques they run themselves, plus the molecule classes they have worked on.

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

Runs their own analytics and process work on real molecule classes, with sound experimental design behind it.

02
Evaluation factor

Results that went somewhere

25% weight

Look for work that fed a filing, a process transfer, or a clinical decision, not only internal reports.

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

Names work that fed a filing, transfer, or clinical decision, with their own contribution clearly stated.

03
Evaluation factor

Troubleshooting and reproducibility

25% weight

Test how they handle an assay that stops reproducing right before a submission deadline.

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

Isolates reproducibility failures methodically under deadline, and will not sign off on data they cannot defend.

04
Evaluation factor

Documentation and collaboration

15% weight

Check GMP or GLP documentation habits and how they handle a deviation they caused themselves.

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

Documents to regulated standard and raises their own deviations promptly rather than quietly correcting them.

Evidence-led prompts

Interview questions for a Biopharmaceutical Scientist

Use these prompts to surface evidence for the weighted factors above and compare candidates against the same role-specific criteria.

  1. 01

    What analytical techniques are you proficient in, and which ones do you run yourself rather than send out?

  2. 02

    Can you describe your experience with cell culture techniques, including the scales and cell lines you worked with?

  3. 03

    What protein purification methods have you used, and how did you choose the capture step?

  4. 04

    Walk me through an assay you developed and validated, and the acceptance criteria you set.

  5. 05

    Are you experienced with chromatography systems? Pick one chromatogram you generated and talk me through the peaks.

See the complete Biopharmaceutical Scientist question set
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