Baylor College of Medicine
3 weeks ago
Postdoctoral Associate in Cancer Biology and Bioinformatics Baylor College of Medicine in United States
Degree Level
Postdoc
Field of study
Computer Science
Funding
Baylor College of Medicine typically follows NIH-stipulated stipend guidelines for Postdoctoral Associates. Salary listed as $62,232.
Deadline
Oct 21, 2026
Country
United States
University
Baylor College of Medicine

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About this position
Postdoctoral Associate opportunity in cancer biology and bioinformatics at Baylor College of Medicine in Houston, Texas, USA.
Dr. Putluri’s laboratory is recruiting a highly motivated postdoctoral fellow to join a multidisciplinary cancer research team focused on translational cancer research, tumor cell signaling, metabolic reprogramming, immuno-oncology, therapeutic target identification, and tumor-immune interactions.
The role combines experimental and computational work. Research activities include 2D and 3D cancer models, organoids/spheroids, patient-derived models (PDXs), CRISPR/Cas9 gene knockout, siRNA/shRNA knockdown, molecular assays, mouse studies, xenograft and orthotopic models, luciferase imaging, and multi-omics analysis (RNA-seq, proteomics, metabolomics, ChIP-seq, single-cell RNA-seq, spatial data).
Preferred skills include strong coding in R and Python, biological interpretation of multi-omics datasets, and experience developing algorithms for data integration. The minimum qualification is an MD or PhD in Basic Science, Health Science, or a related field; no prior experience is required.
Funding information states that Baylor College of Medicine typically follows NIH-stipulated stipend guidelines for postdoctoral associates, and the posting lists a salary of $62,232.
The closing date is 2026-10-21. Applicants should apply via the Nature Careers employer website link.
Funding details
Baylor College of Medicine typically follows NIH-stipulated stipend guidelines for Postdoctoral Associates. Salary listed as $62,232.
What's required
MD or PhD in Basic Science, Health Science, or a related field. Strong expertise in cancer biology or molecular biology is required, with additional skills in bioinformatics/data analysis preferred. Preferred qualifications include strong coding experience in R and Python, experience interpreting and integrating multi-omics datasets (RNA-seq, proteomics, metabolomics, ChIP-seq, single-cell RNA-seq, spatial data), and ability to develop algorithms and code for innovative multi-omics analysis. No experience required.
How to apply
Apply through the website link on the Nature Careers posting. Review the job details and submit the application via the external employer portal.
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