Case Study 1 — Hernandez Builds a Team That Covers Every Demand
Composite, for teaching. Figures and roles are illustrative.
The Situation
Dr. Hernandez is an early-stage investigator, and she knows a study section will read her capacity as risk: a newer PI proposing a randomized trial. Her instinct is to inflate her own credentials to seem more established. This chapter tells her to do something smarter — assemble a team that collectively covers every demand, and present the case in the way that most reduces the perceived risk.
Applying the Chapter
She runs the capacity checklist. She lists what the trial requires: behavioral-intervention design (hers), rigorous statistical analysis and power (a gap), clinical access to patients for recruitment (a gap), and trial-management experience (partial). For each gap, she fills it deliberately.
She builds the team to cover the gaps. She adds an experienced biostatistician co-investigator whose track record covers the analysis expertise she's still developing, and a clinical collaborator who brings trial experience and access to the patient population. Now the team, collectively, covers every demand — no single person needs every skill, and the reviewer sees an early PI who is nonetheless well-supported.
She uses preliminary data as capability evidence. Her pilot does double duty: it grounds the hypothesis and proves she can actually execute the key methods. "We generated these data" is proof of capability, not just feasibility.
She leverages the environment. She documents her institution's resources — the clinical partner site, the data infrastructure, the institutional commitment to her career development — borrowing credibility from a strong environment.
She curates the biosketches. Her own personal statement is tailored to this project and role, featuring her adherence and behavioral-intervention work (relevant) rather than padding with unrelated publications. The biostatistician's biosketch features their methods contributions relevant to her analysis, not their most prestigious unrelated work.
She secures commitment letters. The clinical partner's letter commits specific patient access for recruitment (not vague support), drafted by Hernandez for the partner to edit — removing the reviewer's doubt that recruitment is real.
The Trap She Avoids
Inflating her own credentials would have been caught and would have damaged her credibility. Instead, by assembling a team that covers every demand and presenting honest evidence (pilot data, environment, experienced collaborators), she de-risks a newer-PI proposal without overclaiming. The reviewer's worry — "can this early investigator deliver?" — is met with a capable, well-rounded team and a supportive environment.
The Payoff
Hernandez's capacity case reduces the perceived risk of betting on a newer PI to the point where her strong project can compete. The study section sees that every capability the trial requires is present on the team, the methods are demonstrated, and the partners are committed. Her capacity section clears the last hurdle, letting the significance and approach win.
Discussion Questions
- Hernandez covered her statistical and clinical gaps by adding co-investigators rather than claiming the expertise herself. Why is "assemble the team" better than "be the superhuman"?
- How does her pilot data serve capacity (not just feasibility), and why is "we generated these data" so persuasive?
- Why does she draft the clinical partner's commitment letter herself, and what specifically must it commit?