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 strain scale-up from agar slant to flask to photobioreactor: media recipes (f/2, BG-11), sterile inoculation, light and CO2 dosing, salinity and pH setpoints.
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 strains grown (Nannochloropsis, Spirulina, Chlorella), recites media formulations from memory, and explains why each scale-up step ratio was chosen.
02
Evaluation factor
Results that went somewhere
25% weight
Probe production numbers they owned: grams per litre per day, harvest volumes, lipid or protein content, contamination-free run length, and what the biomass was sold or processed into.
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
Quotes actual productivity and harvest yields across seasons, and links a process change to a measurable gain in biomass or purity.
03
Evaluation factor
Troubleshooting and reproducibility
25% weight
Test response to crashing cultures: rotifer or ciliate grazers, cyanobacterial contamination, photoinhibition, biofilm on tube walls, chiller failure, and how they diagnosed rather than guessed.
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 crash using cell counts, microscopy, and DO or pH trend data, then names the corrective action and prevention step.
04
Evaluation factor
Documentation and collaboration
15% weight
Assess record keeping: daily culture logs, haemocytometer or Coulter counts, optical density readings, batch traceability, plus handovers to harvest, downstream processing, or R and D staff.
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 disciplined batch records others can reconstruct, flags anomalies same shift, and coordinates cleanly with harvesting and quality teams.
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