Data Science / Biology
Computational Biology Lab
Dr. Priya Raman · Remote / Hybrid — Northeastern
RemoteRemoteOpen to students
Contact: praman@example.edu
Website Research overview
The Raman lab builds open, reproducible pipelines for analyzing single-cell genomics data and mentors students through structured, project-based onboarding.
Main research questions
- • How can single-cell workflows be made reproducible for teaching labs?
- • Which visualization defaults best support scientific interpretation?
Methods
PythonSnakemakeNotebook-based analysisOpen-source contributions
Keywords
Computational biologyPythonReproducibilityRemote
Recent publications
- Reproducible single-cell pipelines for classrooms (2024)
Why this may fit you
- Strong interest overlap with your saved topics
- Beginner-friendly roles reported
- Located within commuting distance
- Relevant to your stated goal
- Structured undergraduate onboarding
Potential considerations
Worth asking about
- • Requires reliable internet
- • Weekly async check-ins expected
Suggested questions to ask
- • What would a typical week look like for an undergraduate in this lab?
- • Who would supervise me day to day?
- • What training is provided before students begin?
- • What is the expected weekly time commitment?
- • Are there opportunities to contribute to posters, abstracts, or presentations?
- • Is the lab currently accepting students for the upcoming semester?
Mentorship Fit Profile
Undergraduate experience
Runs a semester-long remote cohort
Supervision style
Weekly 1:1s and cohort standups
Lab size
Small (8 members)
Onboarding
Self-paced onboarding modules
Role types
Data cleaning, Documentation, Visualization
Typical commitment
6–8 hours per week
Environment
Async-friendly, remote
Best for
Independent learners who want structured async mentorship
Mentorship experiences vary by project, supervisor, and student needs. LabCompass presents structured information to help students ask better questions before committing.