Summary
Dr. Putluri’s laboratory at Baylor College of Medicine is seeking a highly motivated and talented Postdoctoral Associate in Cancer Bioinformatics, Cancer Biology, and Biostatistics to join a multidisciplinary cancer research team. This position offers an excellent opportunity to work at the interface of computational biology and translational cancer research, with access to state-of-the-art multi-omics technologies, patient-derived models, and clinically annotated human specimens.
Postdoctoral Associate: Cancer Bioinformatics, Biostatistics, and Multi-Omics at Baylor College of Medicine
Job Details
- Designation: Postdoctoral Associate
- Research Area: Cancer Bioinformatics, Biostatistics, and Multi-Omics
- Location: Houston, TX (Onsite)
- Salary Range: $63,480 (Aligned with NIH stipend guidelines)
- Work Schedule: Monday – Friday, 8 a.m. – 5 p.m.
Job Description
The Postdoctoral Associate will lead computational and statistical analyses of high-dimensional multi-omics and spatial datasets generated from cancer models and translational human specimens. Key responsibilities include:
- Developing and maintaining reproducible bioinformatics pipelines for large-scale genomics, transcriptomics, proteomics, and metabolomics datasets.
- Analyzing single-cell RNA-seq, spatial transcriptomics, and ATAC-seq data to identify molecular mechanisms of cancer progression.
- Performing multi-omics data integration to identify metabolic vulnerabilities, biomarkers, and therapeutic targets.
- Utilizing machine learning and statistical modeling for patient stratification and predictive modeling.
- Conducting in vitro experiments including 3D organoids, spheroids, and CRISPR/Cas9 gene editing.
- Executing mouse studies for tumor implantation, drug treatment, and immune profiling.
- Preparing manuscripts, figures, and grant-related materials for publication and submission.
Eligibility/Qualification
Minimum Qualifications
- MD or Ph.D. in Basic Science, Health Science, or a related field.
- No prior experience required.
Preferred Qualifications
- Ph.D. in Bioinformatics, Computational Biology, Biostatistics, Data Science, or Cancer Biology.
- Strong programming expertise in R and Python.
- Demonstrated experience analyzing high-throughput datasets (RNA-seq, scRNA-seq, CyTOF, etc.).
- Proficiency in Linux/Unix environments and high-performance computing (HPC).
- Experience with 3D culture systems and mouse models (xenograft or PDX studies).
- Strong publication record and excellent communication skills.
How to Apply
Qualified candidates should submit their application through the official Baylor College of Medicine careers portal. Ensure your CV and relevant research experience are highlighted in your profile.
Apply Link: Official Application Portal
Last Date for Apply
Applications are generally reviewed on a rolling basis until the position is filled. Interested candidates are encouraged to apply as soon as possible.
