Postdoctoral Associate

Summary

The Cheng Lab in the Department of Medicine, Section of Epidemiology & Population Sciences is searching for highly motivated and talented Postdoctoral Associate 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 Postdoc 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 Postdoc 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. The role includes designing analyses, interpreting complex datasets, and translating findings into biologically meaningful insights within a multidisciplinary research environment. This position offers a highly collaborative, team-based setting with opportunities for advanced training, mentorship, and career development.

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

Job Duties

• 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, validates computational findings, and supports 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.
• Collaborates with experimental biologists and clinicians to apply computational and bioinformatics approaches to study cancer development, progression, metastasis, and prognosis.
• Performs other job-related duties as assigned.

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).
• Knowledge of basic molecular biology, genomics, and epigenetics.
• 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).
• 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/PerlPython.