Because the Duke University interview process for this role relies heavily on your specific background, questions will often be directly tied to your resume. However, you should expect questions to fall into a few predictable categories. Use these examples to practice your narrative.

Resume & Experience Deep Dive

These questions test the depth of your actual hands-on experience and ensure your resume accurately reflects your capabilities.

• Can you walk me through your background and how it prepared you for this specific lab?
• On your resume, you mentioned using [Specific Technique]. Can you explain the underlying principle of how that technique works?
• What was your specific contribution to the publication listed on your CV?
• Describe a time when a research project you were working on did not go as planned.
• Why are you interested in transitioning to Duke University for this stage of your career?

Technical & Analytical Skills

These questions evaluate your competence with the tools of the trade and your ability to handle data responsibly.

• How do you ensure accuracy and reproducibility when running multiple assays simultaneously?
• What statistical software are you most comfortable with, and how have you used it in the past?
• Walk me through your standard process for keeping a laboratory notebook.
• How would you handle a situation where your data contradicts the PI's core hypothesis?
• Explain how you manage and safely store sensitive or hazardous lab materials.

Behavioral & Lab Fit

These questions assess your communication style, adaptability, and how you will mesh with the existing lab team.

• How do you handle working under tight deadlines, such as when a grant proposal is due?
• Describe a time you disagreed with a colleague or PI about an experimental approach. How did you resolve it?
• How do you prioritize tasks when supporting multiple researchers in the lab?
• What type of management style brings out your best work?
• Where do you see your research career heading in the next three to five years?

This timeline illustrates the typical progression from the initial resume-based phone screen to the final in-depth lab interviews. Use this visual to pace your preparation, focusing first on perfecting your resume narrative for the quick screen, and then diving deep into the PI's recent publications for the final rounds. Keep in mind that the timeline may stretch depending on the academic calendar and grant funding cycles.

5. Deep Dive into Evaluation Areas

Understanding exactly how a Duke University PI evaluates candidates will help you tailor your preparation. The evaluation is less about trick questions and more about verifying your practical competence and your ability to integrate into the lab's existing workflow.

Past Research Experience & Resume Deep Dive

Your resume is the primary roadmap for the interview. Interviewers will ask you to walk through your past roles, focusing heavily on what you physically executed versus what your broader team accomplished. They want to ensure you have the actual hands-on experience you claim.

Be ready to go over:

• Specific methodologies – Detailed explanations of the techniques you used (e.g., PCR, Western blotting, cell culture, or specific statistical modeling).
• Project ownership – Clear distinctions between your independent work and tasks where you merely assisted.
• Outcomes and deliverables – How your data contributed to a final paper, poster presentation, or grant application.
• Advanced concepts (less common) –
  • Designing novel experimental protocols from scratch.
  • Managing lab budgets or procurement.
  • Training junior staff or undergraduate researchers.

Example questions or scenarios:

• "Walk me through the exact steps you took to perform the RNA extraction mentioned on your resume."
• "Can you describe a time when an experiment you were running consistently failed, and how you went about troubleshooting it?"
• "Explain the most complex dataset you have managed and the tools you used to clean and analyze it."

Technical Lab Skills & Data Analysis

Depending on whether the role is a wet lab or dry lab position, your technical evaluation will vary. For a Lab Research Analyst, you must prove that you can be trusted with expensive reagents, sensitive equipment, and complex data.

Be ready to go over:

• Wet lab techniques – Pipetting accuracy, assay development, tissue handling, and sample preparation.
• Data analysis software – Proficiency in tools like R, Python, SPSS, or GraphPad Prism, depending on the lab's focus.
• Equipment maintenance – Your ability to calibrate, troubleshoot, and maintain standard laboratory machinery.

Example questions or scenarios:

• "How would you handle a situation where our primary centrifuge begins making an unusual noise during a time-sensitive protocol?"
• "Describe your experience using SPSS to analyze large clinical datasets. What specific tests are you most comfortable running?"
• "What is your process for documenting your daily bench work to ensure reproducibility?"

Adaptability and Lab Culture Fit

Research is a dynamic field where priorities can shift rapidly based on new data or funding changes. Interviewers want to see that you are adaptable, resilient, and easy to work with in a close-knit environment.

Be ready to go over:

• Handling ambiguity – How you proceed when a protocol is unclear or a PI is unavailable for immediate guidance.
• Collaboration – Your experience working alongside graduate students, postdocs, and other analysts.
• Receptiveness to feedback – How you handle having your work critiqued or your data questioned.

Example questions or scenarios:

• "Tell me about a time you had to pivot your research focus quickly due to unexpected results."
• "How do you prioritize your tasks when you are supporting multiple postdocs who all need your help at the same time?"
• "Describe your ideal working relationship with a Principal Investigator."