Summary

The Cheng Lab at Baylor College of Medicine is searching for highly motivated and talented post-doc candidates to work on Bioinformatics and Computational Biology in Cancer Genomics and Immunology. This position will be involved in the development and/or application of computational approaches to understand the mechanism of cancer development, progression, metastasis, and prognosis. The candidate should have experience in processing and analyzing data from the next-generation sequencing and single-cell technologies (e.g., scRNA-seq, scATAC-seq, scTR-seq, and/or spatial transcriptomics). Previous experience in both Bioinformatics/Genomics and Cancer Biology is desirable. The position offers an extraordinary team-based science environment with opportunities for significant education, training, and career development. Baylor College of Medicine is located at the Texas Medical Center, which is the largest medical complex in the world and provides an ideal environment for scientific and clinical research.

A candidate is expected to collaborate closely with experimental biologists and clinicians. The position offers an extraordinary team-based science environment with opportunities for significant education, training, and career development.

For application, please send a cover letter (with a brief description of research experience and interests), CV and the contact information of at least three references to "[email protected]". Please include "apply for a postdoc in bioinformatics" in your email subject.

Job Duties

• Develops and/or applies computational approaches to understand the mechanism of cancer development, progression, metastasis, and prognosis.
• Works closely with experimental biologists and clinicians to design experiments, validate computational findings, and guide translational applications.
• Participates in regular joint meetings to discuss ongoing projects, share results, and align on research goals.
• Assists in mentoring junior researchers in computational techniques and bioinformatics best practices.
• Translatescomplex computational results into biologically meaningful insights in collaboration with wet-lab teams.
• Maintains thorough documentation of analyses, pipelines, and datasets in version-controlled environments.

Minimum Qualifications

• MD or Ph.D. in Basic Science, Health Science, or a related field.
• No experience required.

Preferred Qualifications

• PhD in Computational Biology, Bioinformatics, or a related field (e.g. statistics, computer science, or quantitative biology).
• Experience in the application and development of computational methods/tools or machine learning algorithms.
• Good computer programming skills in R/Matlab/PerlPython.
• Knowledge of basic molecular biology, genomics, and epigenetics.
• Experience in next-generation sequencing data and scRNA-seq data.