Research Intern -Computational Genomics
- Requisition #: 600815-202512021606
- Department: Bioinformatics & Comp Biology
- Location: Houston, TX
- Posted Date: 12/2/2025
We are seeking a Research Intern to support ongoing projects involving large-scale DNA and RNA sequencing, single-cell and spatial transcriptomics, and other molecular profiling data. Under close mentorship from the PI and lab members, the intern will assist with data processing, exploratory analysis, and pipeline development using Python/R and standard bioinformatics tools on Linux/HPC environments. This position is designed as a hands-on training opportunity in modern computational genomics within a highly collaborative cancer research team.
Wenyi Wang Lab in the Department of Bioinformatics and Computational Biology at MD Anderson Cancer Center develops and applies advanced computational and statistical methods to analyze high-dimensional genomic and multi-omics data, with a focus on cancer genomics and tumor evolution.
All duties and responsibilities are carried out in compliance with institutional policies, ethical research standards, and applicable federal and state regulations.
LEARNING OBJECTIVES
During this internship, the trainee will:
- Gain hands-on experience analyzing real DNA/RNA, single-cell, or spatial transcriptomics data using Python/R in
a Linux/HPC environment.
- Learn the key steps of standard NGS pipelines, including basic QC, alignment, and expression or variant
summarization.
- Develop reproducible research skills, including using scripts and version control to organize analyses.
- Strengthen scientific communication, by preparing simple figures/tables and briefly presenting results to the lab.
ELIGIBILITY REQUIREMENTS
- Completion of a bachelor's or master's degree in bioinformatics, computational biology, computer science,
statistics, or a related field.
- Basic programming skills in Python or R (coursework or projects are fine).
- Interest in cancer genomics/bioinformatics and willingness to learn new tools.
- Able to work in a collaborative team and commit to the agreed time for the internship.
Preferred but not required:
- Familiarity with Linux/Unix or HPC environments
- Any prior experience with biological or sequencing data
ADDITIONAL APPLICATION INFORMATION
Visit the Wenyi Wang Lab website for more information: https://odin.mdacc.tmc.edu/~wwang7/
To apply, please email (1) a cover letter describing current and future research, (2) a curriculum
vitae, and (3) a list of three references to Dr. Wenyi Wang at wwang7@mdanderson.org.
POSITION INFORMATION
Offsite work arrangements are subject to approval and may be modified or revoked at any time based on business needs, performance considerations, or regulatory requirements.
This position may be responsible for maintaining the security and integrity of critical infrastructure, as defined in Section 113.001(2) of the Texas Business and Commerce Code and therefore may require routine reviews and screening. The ability to satisfy and maintain all requirements necessary to ensure the continued security and integrity of such infrastructure is a condition of hire and continued employment.
It is the policy of The University of Texas MD Anderson Cancer Center to provide equal employment opportunity without regard to race, color, religion, age, national origin, sex, gender, sexual orientation, gender identity/expression, disability, protected veteran status, genetic information, or any other basis protected by institutional policy or by federal, state or local laws unless such distinction is required by law. http://www.mdanderson.org/about-us/legal-and-policy/legal-statements/eeo-affirmative-action.html
Wenyi Wang Lab in the Department of Bioinformatics and Computational Biology at MD Anderson Cancer Center develops and applies advanced computational and statistical methods to analyze high-dimensional genomic and multi-omics data, with a focus on cancer genomics and tumor evolution.
All duties and responsibilities are carried out in compliance with institutional policies, ethical research standards, and applicable federal and state regulations.
LEARNING OBJECTIVES
During this internship, the trainee will:
- Gain hands-on experience analyzing real DNA/RNA, single-cell, or spatial transcriptomics data using Python/R in
a Linux/HPC environment.
- Learn the key steps of standard NGS pipelines, including basic QC, alignment, and expression or variant
summarization.
- Develop reproducible research skills, including using scripts and version control to organize analyses.
- Strengthen scientific communication, by preparing simple figures/tables and briefly presenting results to the lab.
ELIGIBILITY REQUIREMENTS
- Completion of a bachelor's or master's degree in bioinformatics, computational biology, computer science,
statistics, or a related field.
- Basic programming skills in Python or R (coursework or projects are fine).
- Interest in cancer genomics/bioinformatics and willingness to learn new tools.
- Able to work in a collaborative team and commit to the agreed time for the internship.
Preferred but not required:
- Familiarity with Linux/Unix or HPC environments
- Any prior experience with biological or sequencing data
ADDITIONAL APPLICATION INFORMATION
Visit the Wenyi Wang Lab website for more information: https://odin.mdacc.tmc.edu/~wwang7/
To apply, please email (1) a cover letter describing current and future research, (2) a curriculum
vitae, and (3) a list of three references to Dr. Wenyi Wang at wwang7@mdanderson.org.
POSITION INFORMATION
Offsite work arrangements are subject to approval and may be modified or revoked at any time based on business needs, performance considerations, or regulatory requirements.
This position may be responsible for maintaining the security and integrity of critical infrastructure, as defined in Section 113.001(2) of the Texas Business and Commerce Code and therefore may require routine reviews and screening. The ability to satisfy and maintain all requirements necessary to ensure the continued security and integrity of such infrastructure is a condition of hire and continued employment.
It is the policy of The University of Texas MD Anderson Cancer Center to provide equal employment opportunity without regard to race, color, religion, age, national origin, sex, gender, sexual orientation, gender identity/expression, disability, protected veteran status, genetic information, or any other basis protected by institutional policy or by federal, state or local laws unless such distinction is required by law. http://www.mdanderson.org/about-us/legal-and-policy/legal-statements/eeo-affirmative-action.html
