
The biggest lie students believe about research is that you can “squeeze it in” whenever you have time. You cannot. A credible project that goes from idea to first manuscript submission in 12 months lives or dies by the timeline.
You’re not just fighting data or statistics. You’re fighting:
- Exam blocks
- Clinical shadowing
- MCAT or STEP prep
- Rotations, jobs, family
(See also: Your Gap Year in Research for month-by-month productivity tips.)
So you need structure. Month-by-month, then week-by-week, then day-by-day in the crunch periods.
This guide assumes:
- You’re premed or in preclinical medical school
- You’re aiming for a first submission (to a journal, conference, or poster session) in about 12 months
- You may be starting with no prior research experience
Use this as a working blueprint. Adjust for your local IRB, mentor expectations, and academic calendar.
Month 0–1: Clarify Your Goal and Secure a Mentor
At this point you should not be “reading papers randomly.” You should be aggressively converging on one mentor and one project direction.
(Related: Final Year of College: Research Tasks for essential tasks before graduation.)
Week 1–2: Define your research goal
Decide what “first submission” means:
- Abstract to a national conference? (e.g., Society of General Internal Medicine)
- Manuscript to a mid-tier journal? (e.g., Cureus, BMC, Journal of Medical Education and Curricular Development)
- Institutional research day poster?
Your timeline will move differently if:
- You’re doing a retrospective chart review (fastest)
- You’re doing a survey study (moderate)
- You’re doing a prospective or lab project (slowest; risky for 12 months)
For a 12‑month idea-to-submission plan as a premed or early medical student:
- Prioritize: retrospective studies, surveys, education projects, or meta-analyses
- Deprioritize as primary project: bench/lab work that depends on experiments and animal work approvals
Write down:
- Field you want: e.g., emergency medicine, cardiology, medical education
- Type of work: clinical outcomes / survey / meta-analysis / QI
Week 2–3: Identify and approach mentors
At this point you should be emailing 5–10 potential mentors, not “thinking about it.”
Create a simple tracker spreadsheet:
- Name, department
- Date contacted
- Response
- Interest level
- Next step
Your target mentors:
- Actively publishing in the last 2–3 years
- In areas tied to your interest (e.g., sepsis outcomes, health disparities, medical education)
- Known for being student-friendly (ask senior students discreetly)
Email structure (short, specific):
- One line about you (premed at X / M1 at Y)
- One line about your interest in their specific work (cite 1 paper)
- One line asking if they have a project that could realistically be brought to submission within 12 months
- Attach a brief CV
Aim to schedule 3–4 meetings to discuss potential projects.
Week 4: Commit to one mentor and one project
By the end of Month 1:
- You should have chosen a primary mentor
- You should have committed to one defined project
Agree clearly on:
- Primary research question
- Target journal/conference level
- Your role: data collection, analysis, first author writing, etc.
- Meeting frequency (ideally biweekly)
If your mentor cannot meet at least monthly, assume timeline risk increases.

Month 2–3: Design the Study and Prepare IRB/Protocol
At this point you should be building the blueprint, not “waiting for IRB to open.”
Week 5–6: Deep dive into the literature
Goal: rapid, targeted understanding of your niche, not a full textbook.
Schedule:
- 3 sessions/week, 60–90 minutes each
Tasks:
- Collect 20–40 key articles (use PubMed, Google Scholar, your mentor’s suggestions)
- Create a reference manager library (Zotero, Mendeley, EndNote)
- Extract:
- Typical sample sizes
- Common outcomes
- Standard definitions/measurements
- Gaps and controversies
End of Week 6 deliverable: a 1–2 page literature summary with:
- 1–2 paragraphs: what’s known
- 1 paragraph: key gaps
- 1 paragraph: how your project addresses a gap
Week 7–8: Finalize research question and methods
At this point you should be converting your idea into specific, measurable variables.
Clarify:
- Primary objective (e.g., “To determine whether intervention X reduces 30-day readmission rates”)
- Secondary objectives (limit to 2–4)
- Inclusion criteria
- Exclusion criteria
- Data elements to collect (create a draft data dictionary)
Work with your mentor to choose:
- Study design: retrospective cohort, cross-sectional survey, pre-post, etc.
- Sample size:
- Ask the mentor or statistician for a basic power/sample calculation
- At minimum, estimate what is realistically available
If survey-based:
- Start drafting survey questions
- Decide on:
- Validated scales to include
- Administration method (REDCap, Qualtrics, paper)
- Recruitment strategy
Week 9–10: Draft IRB/protocol
You should now be writing, not reading.
Create:
Study protocol (5–10 pages):
- Background and significance (from your literature summary)
- Objectives and hypotheses
- Methods (design, setting, participants, data collection, statistical plan)
- Risks and benefits
- Data security plan
-
- Use your institution’s portal (e.g., iRIS, Cayuse)
- Work under your mentor’s PI status
- Prepare consent forms if needed
- For minimal risk retrospective work, ask about expedited review or exemption
End of Month 3 deliverable:
- Completed IRB draft ready for mentor review
Month 4: IRB Submission and Pre‑Data Prep
This is where many students stall. You cannot control IRB timelines, but you can control what you do during the wait.
Week 11–12: Finalize and submit IRB
At this point you should:
- Incorporate mentor edits aggressively within 3–4 days
- Submit IRB by end of Week 12 at the latest
Double-check:
- All documents uploaded
- Surveys attached
- Data collection forms included
- Team member list accurate (include yourself)
Ask the mentor:
- Typical IRB turnaround time for this study type
- Whether preliminary de-identified feasibility checks are allowed (often yes for QI or aggregate counts)
Week 13–16: While IRB reviews, build infrastructure
Do not “wait.” Build your project skeleton.
Tasks:
- Create final data collection sheet:
- Use Excel, Google Sheets, or REDCap
- List each variable with clear definitions and units
- Set up file structure:
- /Protocol
- /IRB
- /Data (secured per policy)
- /Analysis
- /Manuscript
- Learn basic stats tools:
- If using R, SPSS, Stata, or Python, complete a short intro course/module
- Practice with dummy data
If survey-based:
- Program survey into REDCap/Qualtrics
- Test on 3–5 friends for logic and timing (don’t collect real data yet if IRB not approved)
End of Month 4 deliverable:
- Data capture system ready to use on Day 1 of IRB approval

Month 5–7: Data Collection
Once IRB approval hits, your mindset shifts: execution, not planning.
Week 17–18: Launch data collection
As soon as IRB approval arrives:
- Save the approval letter
- Confirm:
- Approved protocol version
- Any modifications required
- Start data collection within 1 week
Retrospective study:
- Arrange EHR access
- Clarify:
- Inclusion dates
- How you’ll identify eligible patients (ICD codes, procedure lists, clinic rosters)
Survey study:
- Launch survey within 7–10 days
- Set preset timeline: e.g., survey open for 4–6 weeks
- Pre-schedule:
- Reminder emails at 1 and 3 weeks
Week 19–24: Maintain a data schedule
At this point you should treat data collection like a course with scheduled lab time, not a side hobby.
Create a weekly routine:
- 2–3 sessions/week, 2–3 hours each, blocked on your calendar
- Each session has a target:
- “Abstract 15 patient charts”
- “Enter 50 survey responses and clean 2 variables”
Good practice:
- Keep a data log:
- Date
- What you did
- Any issues (missing fields, ambiguous notes, etc.)
- Backup data according to institutional rules (often secure server / REDCap)
By end of Month 7:
- You should be ≥75% done with data collection for a 12‑month timeline
- If you’re far behind, schedule a reality check with your mentor:
- Reduce sample size?
- Narrow outcomes?
- Adjust your submission target (institutional poster vs national conference)?
Month 8: Data Cleaning and Preliminary Analysis
This is the month most beginners underestimate. Messy data destroys timelines.
Week 25–26: Clean and finalize dataset
Tasks:
- Standardize:
- Date formats
- Categorical codes (e.g., 0/1 vs Yes/No)
- Units (mg/dL vs mmol/L)
- Handle missing data:
- Document patterns of missingness
- Decide on exclusion rules with mentor
Create:
- Final “analysis dataset” separate from raw dumps
- A data dictionary:
- Each variable
- Type (numeric, categorical)
- Coding
- Original source
Week 27–28: Run basic analyses
At this point you should not be inventing complex models without support.
Minimum analyses:
- Descriptive stats:
- Means, medians, standard deviations
- Frequencies and percentages
- Simple comparisons consistent with your question:
- t-tests, chi-square, or non-parametric equivalents
- Simple regression only if mentor/statistician guides you
Schedule:
- Meet with mentor or statistician at least once this month to review:
- Analysis plan
- Preliminary results
- Feasibility of your planned tables/figures
End of Month 8 deliverable:
- Stable preliminary results and draft tables/figures
Month 9–10: Writing the First Manuscript Draft
Now you transition from “student doing research” to “junior colleague writing a paper.”
Week 29–30: Decide journal/venue and outline manuscript
At this point you should pick a specific target journal or conference. Not “something in cardiology.”
Consider:
- Audience: clinical, educational, subspecialty
- Word limits
- Structured abstract requirements
- Tables/figures limits
- Open-access fees (ask mentor)
Then:
- Download 3–5 recent articles in your chosen journal that match your study type
- Study their:
- Structure
- Level of detail
- Table formats
Create a detailed outline:
- Introduction
- 3–4 paragraphs: what’s known, what’s unknown, why this matters
- Final paragraph: your specific aims/hypotheses
- Methods
- Design, setting, participants
- Variables and outcomes
- Statistical analysis
- Results
- Participant flow
- Baseline characteristics
- Main outcomes
- Discussion
- Summary of key findings
- Comparison to prior literature
- Strengths and limitations
- Implications and future directions
Week 31–34: Draft section by section
Use a 2–3 day mini-deadline approach:
- Days 1–3: Methods draft
- You know this best; it’s mostly describing what you did
- Days 4–6: Results draft
- One paragraph per table/figure
- Avoid interpretation; just state the findings
- Days 7–10: Introduction draft
- Use your earlier literature summary
- End with a crisp final sentence: “We aimed to…”
- Days 11–14: Discussion draft
- Start with: “In this [design], we found…”
- 2–3 key findings
- 3–5 limitations (be honest but not self-destructive)
By end of Month 10:
- You should have a full manuscript draft, imperfect but complete
Month 11: Revision with Mentor and Co‑authors
This month makes the difference between “student draft” and “submission-ready.”
Week 35–36: First mentor review
At this point you should:
- Send the full draft to your mentor with a clear ask:
- “Could you please review for content and structure by X date?”
- Provide:
- Draft manuscript (Word)
- Separate file with figures/tables
- Proposed authorship order (and ask if they agree)
Mentor feedback may take 1–3 weeks. While waiting:
- Refine references
- Format according to journal style
- Proofread for obvious grammar issues
Week 37–38: Incorporate feedback and share with co‑authors
After mentor returns comments:
- Schedule a 30–60 minute meeting to clarify major points
- Prioritize:
- Any requested additional analyses
- Major structural changes
Then:
- Revise within 7–10 days
- Circulate to co-authors with:
- Clear deadline (1–2 weeks)
- Specific request: “Please focus on Methods and Discussion for your sections of expertise.”
Keep a change log:
- Versioning (v1, v2, final)
- Major changes summarized so mentor can track progress easily
End of Month 11 deliverable:
- Near-final manuscript, approved in principle by mentor
Month 12: Final Edits and First Submission
This is the push across the finish line.
Week 39–40: Last technical checks
At this point you should be in polish mode, not rewriting the study.
Checklist:
- Journal formatting complete:
- Word count within limits
- Structured abstract formatted correctly
- References in correct style
- Figures:
- Correct resolution
- Clear labels and legends
- Tables:
- No redundant information
- Clear titles and footnotes
Run:
- Spell-check and grammar check
- A “read-aloud” pass (you’ll catch clunky phrasing)
Week 41–42: Authorship and submission package
Clarify:
- Final authorship order
- Corresponding author (usually your mentor)
Create:
- Cover letter draft:
- Briefly state importance
- Why it fits this journal
- Highlights or key points, if required
Send final draft + cover letter to mentor for final sign-off with explicit subject line:
- “FINAL pre-submission draft – please confirm OK to submit”
Week 43–44: Submit
The actual submission day should be scheduled like an exam.
Tasks:
- Create account on journal submission system
- Upload:
- Manuscript (masked if double-blind review)
- Figures, tables, supplementary materials
- IRB approval letter if required
- Complete:
- Conflicts of interest
- Funding declarations
- Author contributions
Once your mentor confirms:
- Hit “Submit” and confirm email receipt
Document:
- Submission date
- Manuscript ID
- Estimated review time frame
Daily and Weekly Rhythm That Keeps This Timeline Alive
A 12‑month research timeline on top of premed or medical school demands micro-planning.
General weekly template (during active phases):
- 2–3 blocks/week of 90–120 minutes each dedicated to research only
- 1 standing 15–20 minute weekly review:
- What did I do this week?
- What must be true by next week to stay on track?
- 1 touchpoint with mentor every 2–4 weeks, even if brief
High‑density periods (writing, data collection):
- Use “sprint weeks”:
- 5 days in a row, 60–90 minutes each day
- Single focus: e.g., finish Methods section, or abstract 50 charts
Avoid:
- “I’ll work on it when I have time” (that means never)
- Going >3 weeks with no movement; that’s how 12 months becomes 24
Core Takeaways
- The project only fits into 12 months if you front‑load: mentor, topic, IRB, and data systems in the first 4 months.
- Every phase has a concrete deliverable: protocol, IRB, cleaned dataset, full draft, revised manuscript, submission. Treat those like exams with dates.
- Weekly protected time and regular mentor check‑ins are what turn a vague “idea” into a real first submission—on schedule.