We welcome motivated interns and visiting researchers to contribute to projects in computational biology and biomedical research. Our lab provides a collaborative environment where you can develop skills in biostatistics/bioinformatics, data analysis, and computational methods while working on impactful research problems.
If you're an undergraduate student seeking research experience, a graduate student looking to broaden your expertise, or an established researcher interested in collaboration, we offer opportunities tailored to your goals and background.
Research Areas
Our lab focuses on applying computational and statistical methods to solve critical problems in biology and medicine. Current research areas include:
Multi-omics Integration: Combining genomic, microbiomics, proteomic, and metabolomic data to understand biological systems
Disease Biomarker Discovery: Identification and validation of molecular signatures for disease diagnosis and prognosis
Machine Learning in Biomedicine: Development and application of AI/ML methods for biological data analysis
What We Offer
Direct supervision by experienced researchers and regular meetings with the PI.
Work on real research projects with potential for publication and presentation opportunities.
Training in bioinformatics tools, programming (Python/R), statistical analysis, and scientific writing.
Each intern is assigned a specific research project aligned with their interests and our lab's ongoing work. Projects are designed to be achievable within the internship period while contributing meaningful results to the lab's research goals.
Duration and Commitment
Duration: 8-12 weeks (flexible based on project scope)
Time Commitment: Part-time (15-25 hours/week).
Flexibility: Remote and hybrid arrangements can be discussed.
Timing: We accept applications year-round with typical start dates in summer, fall, and spring
Visiting Researcher Positions
We welcome visiting researchers (postdoctoral fellows, graduate students, or faculty) for collaborative research stays. Visiting positions typically range from 1-12 months and are tailored to mutual research interests.
Application Process
Submit Application: Complete the online application form with all supporting documents.
Initial Review: Applications are reviewed within 4 weeks of submission.
Interview: Selected candidates will be invited for an interview (in-person or virtual).
Decision: Final decisions are communicated within 1-2 weeks after interviews.
Required Application Materials
Current CV
Brief statement of research interests and preferred project area (max 500 words)
Are internships paid?
Funding availability varies by project and timing. Some positions may include compensation. Please indicate your funding needs in your application, and we will discuss options during the interview process. We also encourage students to apply for external funding opportunities.
Can international students apply?
Yes! We welcome applications from international students. Please note that visa requirements and work authorization are the responsibility of the applicant. We can provide supporting documentation for visa applications as needed.
Do I need prior research experience?
While prior research experience is valuable, it is not strictly required for internships. We value strong motivation, relevant skills, and willingness to learn. For visiting researcher positions, research experience is expected.
Can I work remotely?
Remote arrangements may be possible for certain computational projects, especially for part-time internships or visiting researchers with established expertise. This is evaluated on a case-by-case basis and depends on the nature of the project and your level of independence.
When should I apply?
We accept applications on a rolling basis. However, we recommend applying at least 2-3 months before your desired start date to allow time for the review process. For summer internships, applying by March is ideal.
What if I don't have experience with all the preferred qualifications?
Don't let this discourage you from applying! We look for potential and enthusiasm as much as existing skills. Be honest about your current abilities and express your willingness to learn in your application.