Research Intern -Computational - Statistical Research Intern

A full-time Research Intern position is available in Dr. Ye Zheng's lab at the Department of Bioinformatics and Computational Biology, the University of Texas MD Anderson Cancer Center.

Dr. Zheng's lab () works on problems at the interface of statistical, computational and biomedical sciences. The lab has developed methods to decipher gene cis-regulatory mechanisms from transcriptomics, epigenomics, proteomics and three-dimensional (3D) chromatin interaction perspectives.

LEARNING OBJECTIVES

We are seeking a highly motivated and dedicated Research Intern to join our dynamic, hybrid, and highly collaborative lab. This computational genomics candidate is expected to leverage the single-cell / bulk-cell multi-omics data, spatial omics data, and image data to reveal the cancer-specific mechanism that underlies the differential efficacies and toxicities of treatment across patients. This position offers an exciting opportunity to contribute to pioneering biological, clinically important and methodologically challenging problems by innovating cutting-edge statistical models and computational methods.

All duties and responsibilities are carried out in compliance with institutional policies, ethical research standards, and applicable federal and state regulations.

ELIGIBILITY REQUIREMENTS

Applicants must hold a bachelor's or master's degree in Statistics, Computer Science, Biostatistics, Bioinformatics, Computational Biology, Engineering, Data Science, or a related field.

1. Solid training in Statistics / Mathematics :

Past course or research training in statistics, including but not limited to mathematical statistics, statistical inference, and linear regression.

2. Strong computational skills :

• Proficient in programming languages R, Python, and Shell, has extensive usage of high-performance computing environments on Linux servers, and knows how to submit batch-run jobs.
• Experienced in processing and analyzing bulk / single-cell genomic data or spatial omics data or image data.
• Experienced in developing computational tools, such as R package, Python module, interactive webpage, and computational pipelines.
• Ability to conduct highly organized and reproducible research.

3. Strong communication, writing, and collaboration ability. Publication(s) and manuscript(s) under review are recommended to demonstrate academic writing ability.

ADDITIONAL APPLICATION INFORMATION

Please check more about the project description at

To apply, please email the following to Dr. Ye Zheng at yzheng8@mdanderson.org.

(1) a cover letter describing past contributions to the field, future research plan, career development plan, scientific motivation and interests that align with Dr. Zheng's lab,

(2) a curriculum vitae that includes publications and GitHub links of past project codes or developed software

(3) emails and phone numbers of a list of three references

POSITION INFORMATION

This position (full-time or part-time) provides a stipend between $28,000 and $36,000.

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.

FACULTY MENTOR

Ye Zheng, PhD