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. The 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. 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. 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.

Job Duties

• Develops and/or applies computational approaches to understand the mechanism of cancer development, progression, metastasis, and prognosis.

Minimum Qualifications

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

Preferred Qualifications

• 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.
• Experience in the application and development of computational methods/tools or machine learning algorithms.
• Good computer programming skills in R/Matlab/Perl/Python.
• Knowledge of basic molecular biology, genomics, and epigenetics.
• Experience in next-generation sequencing data and scRNA-seq data.