Postdoctoral Associate - Cancer biology and bioinformatics

Baylor College of Medicine; Texas; On-site; USD 53,000 - 72,000; Full time

Job summary

Baylor College of Medicine seeks a Postdoctoral Associate in cancer biology and bioinformatics. The role focuses on translational cancer research using patient-derived models, 3D organoids, and multi-omics analyses.

The candidate will collaborate across biology, computation, and clinical teams to drive mechanistic insights. Laboratory work involves in vitro and in vivo experiments, data integration, and manuscript preparation.

Qualifications

• MD or Ph.D. in Basic Science, Health Science, or a related field.
• No experience required.

Responsibilities

• Conduct in vitro cancer biology experiments including 2D culture, 3D organoids, spheroids, and patient-derived models.
• Perform CRISPR/Cas9-mediated gene knockout and siRNA/shRNA knockdown in cell lines.
• Carry out multi-omics data analysis (RNA-seq, proteomics, metabolomics, ChIP-seq, single-cell RNA-seq, spatial data).
• Execute molecular and biochemical assays such as qPCR, Western blotting, ELISA, and flow cytometry.
• Contribute to generation and characterization of knockout mouse models and tumor studies in vivo.

Skills

R

Python

Education

MD or PhD in Basic Science

Tools

R

Python

Job description

Postdoctoral Associate - Cancer biology and bioinformatics

Division: Molecular and Cell Biology Work Arrangement: Onsite only Location: Houston, TX Salary Range: $62,232 FLSA Status: Exempt Work Schedule: Monday – Friday, 8 a.m. - 5 p.m.

Summary

Dr. Putluri’s laboratory at Baylor College of Medicine is seeking a highly motivated and talented Postdoctoral Fellow to join our multidisciplinary cancer research team. The lab is seeking a highly motivated Postdoctoral Associate with strong expertise in cancer biology or molecular biology, and additional skills in bioinformatics/data analysis, to join our multidisciplinary research team at Baylor College of Medicine. The Postdoctoral Associate will work on cutting-edge translational cancer research projects involving tumor cell signaling, metabolic reprogramming, immuno-oncology, and therapeutic target identification. The lab focuses on understanding metabolic and molecular vulnerabilities driving cancer progression, therapeutic resistance, and tumor-immune interactions. This position offers opportunities to work with cutting-edge cancer models, 3D culture systems, and translational human samples. This position offers the opportunity to work with state-of-the-art platforms, including patient-derived models (PDXs), 3D organoids/spheroids, advanced molecular assays, and multi-omics datasets.

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

Job Duties

• Conducts in vitro cancer biology experiments, including 2D culture, 3D organoids, spheroids, and patient-derived models.
• Performs CRISPR/Cas9-mediated gene knockout (KO), siRNA/shRNA-mediated knockdown (KD), and validation of engineered cell lines.
• Conducts the multi-omics data analysis including RNA-seq, proteomics, metabolomics, ChIP-seq, single-cell RNA-seq, and spatial data and multi-omics data integration.
• Executes molecular and biochemical assays such as qPCR, Western blotting, ELISA, flow cytometry, and functional phenotyping.
• Contributes to the generation and characterization of knockout (KO) mouse models, including colony maintenance, genotyping, and phenotypic analysis.
• Performs mouse studies using immune-competent strains and immune-compromised NSG mice that includes tumor implantation, drug treatment, and immune profiling.
• Establishes and monitors orthotopic xenograft models to study tumor growth and progression within relevant tissue microenvironments.
• Conducts luciferase labeling of cancer cells and use bioluminescence imaging to trace tumor growth and metastasis in vivo.
• Performs mechanistic studies examining cancer signaling pathways, cytokine biology, therapeutic resistance, and tumor metabolism.
• Designs and executes xenograft, orthotopic, syngeneic, and PDX in vivo studies.
• Develops and maintains 3D organoids/spheroids and support in vivo therapeutic testing.
• Collaborates with experimental biologists, computational biologists, and clinicians to drive mechanistic and translational outputs.
• Prepares manuscripts, figures, and grant-related materials, and organize data for grant/paper submissions.
• Presents research findings at internal meetings and national/international conferences.
• Mentor’s students and support collaborative projects across laboratories.
• 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

• Strong coding experience using R and Python for data analysis.
• Expertise in the biological interpretation of multi-omics datasets (RNA-seq, proteomics, metabolomics, ChIP-seq, single-cell RNA-seq, and spatial data) and experience in multi-omics data integration.
• Has the ability to develop algorithms and code for innovative multi-omics data analysis.

Baylor College of Medicine is an Equal Opportunity/Affirmative Action/Equal Access Employer.

Baylor College of Medicine fosters diversity among its students, trainees, faculty, and staff as a prerequisite to accomplishing our institutional mission and setting standards for excellence in training healthcare providers and biomedical scientists, promoting scientific innovation, and providing patient-centered care. Baylor College of Medicine is an Equal Opportunity/Affirmative Action/Equal Access Employer.