Research Intern - Bioinformatics & Computational Biology
- Requisition #: 600815-202411011039
- Department: Bioinformatics & Comp Biology
- Location: Houston, TX
- Posted Date: 10/31/2024
The Research Intern position in Dr. Zheng's research group at the Bioinformatics and Computational Biology department of MD Anderson Cancer Center aims to train junior researchers to have experience in constructing statistical models and computational tools to address biomedical challenges. Leveraging the advanced single-cell multi-omics profiling technology and data, the trainees will gain experience in processing large genomic data and constructing computational pipelines to do data quality checks, normalization, batch removal, and genomic feature detection. The newly proposed model will bridge the molecular profilings with the clinical treatment of patients, leading to high-impact findings.
LEARNING OBJECTIVES
Learn existing genomic-disease association ML models and be exposed to the newly developed tree-based model applied on the state-of-the-art single-cell multi-omics data in immunology and immunotherapy studies.
Learn how to organize reproducible codes and write Rmarkdown or Jupyter Notebook weekly report. Transform weekly report into professional package and website interface and deploit on GitHub for wider audience testing.
Learn efficient presentation skills for sharing progress weekly in individual meeting with PI. Learn how to efficiently and accurately present research progress and findings and contribute to the final manuscript drafting.
ELIGIBILITY REQUIREMENTS
Master's degree in Statistics, Computer Science, Bioinformatics, Quantitative Genomics, or related.
Efficient in programming languages for data analysis, such as R and/or Python.
Solid training in mathematical statistics, probability, linear regression and computational statistics.
Strong interest in learning genomics and cancer disease.
ADDITIONAL APPLICATION INFORMATION
Please submit your CV and a short cover letter describing your research interest and career development plan.
POSITION INFORMATION
This position (full-time or part-time) provides a stipend between $28,000 and $36,000.12/31/2024
LEARNING OBJECTIVES
Learn existing genomic-disease association ML models and be exposed to the newly developed tree-based model applied on the state-of-the-art single-cell multi-omics data in immunology and immunotherapy studies.
Learn how to organize reproducible codes and write Rmarkdown or Jupyter Notebook weekly report. Transform weekly report into professional package and website interface and deploit on GitHub for wider audience testing.
Learn efficient presentation skills for sharing progress weekly in individual meeting with PI. Learn how to efficiently and accurately present research progress and findings and contribute to the final manuscript drafting.
ELIGIBILITY REQUIREMENTS
Master's degree in Statistics, Computer Science, Bioinformatics, Quantitative Genomics, or related.
Efficient in programming languages for data analysis, such as R and/or Python.
Solid training in mathematical statistics, probability, linear regression and computational statistics.
Strong interest in learning genomics and cancer disease.
ADDITIONAL APPLICATION INFORMATION
Please submit your CV and a short cover letter describing your research interest and career development plan.
POSITION INFORMATION
This position (full-time or part-time) provides a stipend between $28,000 and $36,000.
