Postdoctoral Associate - Computational biology and Bioinformatics

The Cheng Lab in the Department of Medicine, Section of Epidemiology & Population Sciences is searching for highly motivated and talented post-doc candidates to work on Bioinformatics and Computational Biology in Cancer Genomics and Immunology.

About the role

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 Postdoctoral Associate should have experience in processing and analyzing data from 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 at Baylor College of Medicine, located in the Texas Medical Center—the largest medical complex in the world.

Responsibilities

• Develops and/or applies computational approaches to understand the mechanism of cancer development, progression, metastasis, and prognosis.
• Collaborates closely with experimental biologists and clinicians to design studies, validate computational findings, and support translational applications of research discoveries.
• Participates in regular joint meetings to present findings, discuss ongoing projects, and align research strategies with lab and departmental priorities.
• Assists in mentoring and training of junior researchers in computational techniques and bioinformatics best practices.
• Translates complex computational results into biologically meaningful insights in collaboration with wet-lab teams.
• Maintains thorough documentation of analyses, pipelines, and datasets in version-controlled environments.
• Designs, analyses, and interprets complex datasets, translating findings into biologically meaningful insights within a multidisciplinary research environment.
• Performs other job-related duties as assigned.

Requirements

• MD or Ph.D. in Basic Science, Health Science, or a related field.

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, Perl, or Python.
• Knowledge of basic molecular biology, genomics, and epigenetics.
• Experience in next-generation sequencing data and scRNA-seq data.

Pay

Baylor College of Medicine typically follows NIH stipulated stipend guidelines for Postdoctoral Associates.