Postdoctoral Fellow - Pancreatic Cancer

Job Summary

The Beckman Research Institute of City of Hope is seeking a highly motivated Postdoctoral Fellow to join Dr. Jen Jen Yeh’s laboratory. The laboratory focuses on understanding the pathogenesis and pharmacogenomics of pancreatic cancer.

Responsibilities

• Focus on cancer genomics and personalized medicine
• Develop and validate hypotheses of therapeutic relevance to pancreatic cancer using a combination of molecular and genomic data and human-in-mouse models
• Integrate information from high-throughput screens, proteomic data, and next-generation sequencing data
• Collaborate with experimental and computational team members
• Display and interpret processed data for publication
• Communicate scientific material and collaborate with computational and non-computational partners

Qualifications

• Ph.D. in Bioinformatics, Genetics, Genomics, or an equivalent field
• Experience with common experimental techniques in molecular biology
• Experience working with mouse models
• Experience handling large datasets
• Thorough understanding of common statistical tests and distributions
• Ability to collaborate with experimental and computational team members
• Comfort maintaining datasets and displaying and interpreting processed data for publication
• Demonstrated independence in developing new methods and troubleshooting
• Excellent oral and written communication skills
• Ability to perform both self-directed and guided research
• Outstanding personal initiative and the ability to work effectively as part of a team
• Willingness to assist in the mentorship and training of pre-doctoral researchers
• Knowledge of rigor and reproducibility best practices

Preferred Qualifications

• Thorough knowledge of cancer biology, epigenetics, proteomics, and transcriptomics
• Familiarity with next-generation sequencing data analysis tools
• Experience working in Linux environments, including batch job management on shared computing resources
• Familiarity with a variety of supervised and unsupervised classification techniques
• Proficiency in one or more statistical or scripting languages, preferably R or MATLAB
• Knowledge of survival-based statistical analysis, such as Cox regression and Kaplan-Meier analysis
• Working knowledge of machine learning best practices to avoid overfitting

Pay & Benefits

City of Hope employees pay is based on the following criteria: work experience, qualifications, and work location. For more information on benefits, please CLICK HERE.