
Job Information
MD Anderson Cancer Center Postdoctoral Fellow - Genitourinary Medical Oncology Research in Houston, Texas
The MD Anderson GU Department Prometheus Team is seeking fellow Postdoctoral candidates to join the effort to develop algorithms, develop a unique discovery platform, and test unique hypotheses in a rich prostate cancer clinical resource.
Candidate to have strong analytical and problem-solving skills, including the ability to approach complex biological questions with a computational mindset; proficiency in bioinformatics tools and databases, such as BLAST, NCBI, and UniProt; Knowledge of next-generation sequencing data analysis, including processing, quality control, and interpretation; proficiency in statistical methods and data visualization techniques used in bioinformatics research; familiarity with machine learning techniques and their application to biological data; proficiency in programming languages commonly used in bioinformatics, such as Python, R, and Perl; experience in developing and implementing computational pipelines for the analysis of high-throughput biological data; familiarity with network analysis and systems biology approaches to understand complex biological systems.
LEARNING OBJECTIVES
• Gain experience in developing and implementing computational pipelines for the analysis of high-throughput biological data.
• Develop skills in network analysis and systems biology approaches to understand complex biological systems.
• Develop skills in data integration and multi-omics analysis.
• Build knowledge in personalized medicine and precision health.
• Gain experience in collaborating with experimental biologists to design and execute bioinformatics analyses that address biological questions.
• Develop proficiency in scientific writing and communication, including publishing in peer-reviewed journals and presenting research at conferences.
ELIGIBILITY REQUIREMENTS
MD or PhD
Preferred: PhD or MD/PhD in Bioinformatics
Prefer a candidate with the following qualifications/experience:
• Recent (within 3 years) graduate
• An understanding of cancer biology
• Interest in vertical and horizontal modeling of cancer phylogeny and metastatic evolution
• Background in mathematics and programming
• Ability to collaborate with experimental biologists to design and execute bioinformatics analyses that address biological questions.
• Strong written and verbal communication skills, including the ability to publish in peer-reviewed journals and present research at conferences.