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Job summary
A leading cancer research institution in Houston is seeking motivated Postdoctoral Fellows to explore tumor cell heterogeneity and evolution using advanced bioinformatics approaches. Candidates should have a PhD in computational biology, bioinformatics, or related fields, and strong computational skills including proficiency in R and Python. The role involves analyzing complex data, contributing to publications, and developing expertise in study design and data interpretation. This position offers a unique chance to advance cancer research and improve patient care.
Qualifications
PhD degree in computational biology, bioinformatics, data science, or a related field.
Strong computational skills and experience in R and one additional scripting language.
Preferred experience in single cell and spatial omics data analysis.
Responsibilities
Analyze single cell and spatial omics data to understand tumor evolution.
Apply bioinformatics tools to dissect the tumor ecosystem.
Contribute to research publications and grant writing.
Skills
Strong computational background
Proficiency in R
Experience with Python
Knowledge in biostatistics
Experience with single cell and spatial omics
High-performance computing (Unix/Linux)
Understanding of cancer biology
Excellent communication skills
Education
PhD in computational biology, bioinformatics, data science or a related field
Job description
A leading cancer research institution in Houston is seeking motivated Postdoctoral Fellows to explore tumor cell heterogeneity and evolution using advanced bioinformatics approaches. Candidates should have a PhD in computational biology, bioinformatics, or related fields, and strong computational skills including proficiency in R and Python. The role involves analyzing complex data, contributing to publications, and developing expertise in study design and data interpretation. This position offers a unique chance to advance cancer research and improve patient care.