Postdoctoral Fellow - Genomics Research

City of Hope • Duarte, CA

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About The Position

Join the forefront of groundbreaking research at the Beckman Research Institute of City of Hope, where we're changing lives and making a real difference in the fight against cancer, diabetes, and other life-threatening illnesses. Our dedicated and compassionate faculty and staff are driven by a common mission: Contribute to innovative approaches in predicting, preventing, and curing diseases, shaping the future of medicine through cutting-edge research.
A Postdoctoral Fellowship position is available immediately at the Arthur Riggs Diabetes and Metabolism Research Institute (ARDMRI) at City of Hope National Medical center under Dr. Supriyo Bhattacharya. Our mission is to advance the next generation of in-silico algorithms for understanding diabetes and related disease mechanisms and identifying actionable therapeutic targets.
Interested candidates should apply by emailing their CV and a cover letter describing background and research interests.

Requirements

• Ph.D. in Bioinformatics or related discipline
• Hands on experience in genomics data analysis, including bulk and single cell RNA-seq, ATAC-seq and CHIP-seq.
• Expertise in downstream analysis and biological interpretation of bioinformatic findings
• Proficiency in R/Python programming, developing analysis pipelines and experience in working with Linux HPCs
• Experience in applying machine learning methods to genomics data analysis
• Experience in navigating public databases and genomics data repositories

Nice To Haves

• Prior experience and knowledge in diabetes and metabolic disease research would be considered a plus.

Responsibilities

• Perform collaborative research with multiple faculty members at ARDMRI on projects involving genomics data analysis using single cell RNA-seq, CHIP-seq/ATAC-seq, spatial transcriptomics, HiC/HiCHIP, RIBO-seq and next generation long reads sequencing from Oxford Nanopore.
• Participate in the development of new computational methods for downstream analysis of genomics data and multiomics integration.

What This Job Offers

• Career Level: Entry Level
• Education Level: Ph.D. or professional degree