Async research lab · role guidance
Meet your intern pathway and AI GPT mentoring team.
How mentoring works
AI GPT mentors preserve momentum. People direct the work.
Use the role guide to prepare, ask better questions, synthesize feedback, and keep an accountable record. Human supervision directs research methods, data access, ethics, consent, decisions, authorship, and publication.
Intern roles
A clear contribution path for every role.
Research Intern is the core scholarly pathway. Each adjacent role contributes a different kind of rigor to the same collaborative cycle.
Primary research pathway
Research Intern
Move one bounded research question from credible sources to a traceable contribution.
- Define the question, intended contribution, and decision it can inform.
- Build a dated claim-and-evidence log before drafting prose.
- Bring one focused uncertainty to the weekly discussion window.
- Record the next owner, review point, and carry-forward item.
AI GPT mentoring: Research Navigation GPT helps shape a scoped question, prepares a deidentified cycle update, and turns feedback into the next accountable action.
Structured analysis pathway
Data & Analytics Intern
Make analytical work interpretable, reproducible, and ready for human review.
- State the data boundary and approved analytic objective.
- Document assumptions, variables, transformations, and checks.
- Use synthetic or deidentified examples for learning artifacts.
- Package a concise findings and limitations note.
AI GPT mentoring: Evidence & Methods GPT helps translate an analytic task into a transparent plan, quality checks, and clear handoff language.
Delivery and coordination pathway
Research Operations Intern
Keep the work visible by protecting owners, deadlines, dependencies, and approved records.
- Maintain the project board and cycle-ready status.
- Identify decision points, dependencies, and review owners.
- Prepare a concise readiness brief for the team.
- Close the cycle with an action register and escalation list.
AI GPT mentoring: Quality & Handoff GPT helps organize a cycle brief, surface missing dependencies, and preserve a clear action trail.
Governance support pathway
Legal Operations Intern
Support organized research operations through accurate, bounded, human-supervised documentation.
- Classify the document purpose and accountable reviewer.
- Use the approved template and preserve the source record.
- Flag questions for authorized human review.
- Track approval state and the next required action.
AI GPT mentoring: Governance Guide GPT helps prepare structured summaries and review questions while human authority directs legal, policy, and compliance decisions.
Discovery and translation pathway
IP & Innovation Intern
Connect an emerging idea to prior art, intended benefit, evidence needs, and a responsible next step.
- Describe the problem, audience, and proposed value clearly.
- Map the current evidence and open assumptions.
- Separate exploratory ideas from protected decisions.
- Prepare a concise innovation note for human review.
AI GPT mentoring: Innovation Scout GPT helps frame early questions, compare evidence themes, and prepare an appropriately bounded discussion brief.
AI GPT mentoring team
Choose the guide that matches the work in front of you.
These avatars represent mentoring functions rather than individual people. Start with the smallest useful question, preserve source boundaries, then bring consequential choices to the appropriate human reviewer.
Research Navigation GPT
Question framing, literature orientation, weekly research planning, and feedback-to-action translation.
Evidence & Methods GPT
Claim-evidence tracing, methods clarification, analytic transparency, and limitations language.
Writing & Synthesis GPT
Outline development, concise synthesis, revision planning, and contribution-ready prose.
Quality & Handoff GPT
Decision records, workback plans, review readiness, and end-of-cycle carry-forward.
Days 1–2
Submit
Research Intern: post a scoped question, source trail, current synthesis, and the exact feedback sought.
AI GPT mentor: prepare a concise update, identify evidence gaps, and surface one focused discussion question.
Days 3–4
Discuss
Research Intern: respond to assigned comments and distinguish new evidence, interpretation, and unresolved questions.
AI GPT mentor: organize feedback themes and propose a revision sequence for human review.
Days 5–6
Decide
Research Intern: convert the team decision into a defined contribution, owner, reviewer, and due point.
AI GPT mentor: draft a decision record and a practical workback plan.
Day 7
Reflect
Research Intern: state what changed, what remains uncertain, and the first next-cycle action.
AI GPT mentor: support a brief reflection and carry-forward summary.
Connected HIER pathways
Know where each part of the work belongs.
Begin active shared work at lab.brownvirtuallab.com. The other destinations provide the right context for learning, people, scientific research, operations, quality, and organizational orientation.
Start with one question
Request guidance, capture an onboarding question, or identify the next best lab step.
The form helps route your question into the right role, mentoring, and collaboration pathway.
Research and privacy boundary
Use deidentified educational and operational material in the mentoring space. Protected health information, participant data, consent records, credentials, and sensitive research files remain in their approved systems.
