frontier research deep techdrug deliverygmp scale uplipid nanoparticlesnanoparticle formulation
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
Theoretical command
35% weight
Probe command of colloidal stability, PEGylation and opsonisation, EPR effect limits, and biodistribution kinetics; ask them to defend a carrier choice (LNP versus polymeric versus liposomal) for a given payload.
Evidence to listen for
Explains the underlying theory at the level the role demands, and can go a layer deeper when pushed
Knows which results are established and which are contested
Distinguishes their own contribution from the field's
Comfortable saying where the theory runs out
Five-point scoring guide
1
Poor
Recites terminology without understanding; cannot go one layer deeper.
2
Needs Improvement
Surface familiarity; conflates established results with speculation.
3
Satisfactory
Solid grasp of the core theory; thin at the frontier.
4
Very Good
Strong command; separates settled results from open questions.
5
Excellent
Explains zeta potential, PDI and endosomal escape mechanistically, and names conditions where their preferred carrier fails or clears too fast.
02
Evaluation factor
From theory to hardware or code
30% weight
Ask what they physically made: microfluidic mixing runs, encapsulation efficiency figures, DLS and cryo-TEM characterisation, in vivo or organoid studies, and any transfer into GLP or GMP batches.
Evidence to listen for
Has built, simulated, or run something real, not only published about it
Knows the gap between the idealised model and the actual apparatus or system
Names the practical constraint that dominates in real conditions
Can describe a result that did not match prediction
Five-point scoring guide
1
Poor
Purely theoretical; no contact with implementation.
2
Needs Improvement
Some exposure but unaware of practical constraints.
3
Satisfactory
Has implemented work; understands the main real-world limits.
4
Very Good
Strong practical record; articulate about theory-versus-reality gaps.
5
Excellent
Cites specific formulations with measured EE percentages, particle size distributions, batch sizes, and evidence the material moved beyond bench scale.
03
Evaluation factor
Research judgement
20% weight
Test how they chose which formulation variables to screen, killed unpromising constructs, and handled the in vitro to in vivo translation gap under limited animal study budgets.
Evidence to listen for
Chooses problems by tractability and value, not novelty alone
Knows when to abandon a line of work
Reads and evaluates others' results critically
Can say what would falsify their own approach
Five-point scoring guide
1
Poor
Chases novelty; no sense of tractability or when to stop.
2
Needs Improvement
Weak problem selection; persists past the point of value.
3
Satisfactory
Reasonable judgement within a defined programme.
4
Very Good
Selects problems well and knows when to abandon a line.
5
Excellent
Describes a DoE or screening cascade with clear stop criteria, and names a candidate they abandoned plus the data that justified it.
04
Evaluation factor
Explaining it to non-specialists
15% weight
Assess how they brief toxicologists, regulatory affairs, and clinicians: CMC documentation, IND-enabling package inputs, and explaining nanoparticle risk without retreating into surface chemistry jargon.
Evidence to listen for
Explains the work to an engineer, an executive, or a funder without either mystifying or dumbing it down
Writes clearly
Collaborates across disciplines
Makes the case for resources in terms the audience cares about
Five-point scoring guide
1
Poor
Cannot communicate outside their specialism.
2
Needs Improvement
Explanation is either impenetrable or hollow.
3
Satisfactory
Adequate with technical peers; less effective with lay audiences.
4
Very Good
Explains clearly to specialists and non-specialists alike.
5
Excellent
Translates characterisation data into safety and manufacturability implications that a regulatory reviewer or investor can act on directly.
Put this rubric to work
Score every candidate against the same standard
Add these weighted factors to Hirevire and let AI evaluate recorded answers against your rubric.
