Postdoctoral Associate

Postdoctoral Associate

The Cheng Lab in the Department of Medicine, Section of Epidemiology & Population Sciences is searching for a 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/Perl/Python.

Baylor College of Medicine is an Equal Opportunity/Affirmative Action/Equal Access Employer. PD; SN Requisition