Baylor College of Medicine
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Postdoctoral Associate
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Baylor College of Medicine
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. 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 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 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. Details about research in our lab can be found at: http://www.thechenglab.org/publications.html. The 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 applications, 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 "chao.cheng@bcm.edu". 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.
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.
Minimum Qualifications
MD or Ph.D. in Basic Science, Health Science, or a related field.
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, Perl, Python.
Knowledge of basic molecular biology, genomics, and epigenetics.
Experience in next‑generation sequencing data and scRNA‑seq data.
Baylor College of Medicine is an Equal Opportunity/Affirmative Action/Equal Access Employer.
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Postdoctoral Associate
role at
Baylor College of Medicine
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. 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 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 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. Details about research in our lab can be found at: http://www.thechenglab.org/publications.html. The 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 applications, 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 "chao.cheng@bcm.edu". 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.
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.
Minimum Qualifications
MD or Ph.D. in Basic Science, Health Science, or a related field.
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, Perl, Python.
Knowledge of basic molecular biology, genomics, and epigenetics.
Experience in next‑generation sequencing data and scRNA‑seq data.
Baylor College of Medicine is an Equal Opportunity/Affirmative Action/Equal Access Employer.
#J-18808-Ljbffr