Postdoctoral Fellow - Genomics Research
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Before you apply
SalaryNo pay range posted
LocationUnited States-California-Duarte
Work modeon-site
Typefull-time
SeniorityEntry
Company size10,000+ people
First seenOct 18, 2026 · 2w ago
Verified live6h ago
At a glanceSummarised by Seekless from the posting.
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
Prior experience and knowledge in diabetes and metabolic disease research
Skills
Python
R
Linux
About the company
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.
About the role
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.
Hiring process
Interested candidates should apply by emailing their CV and a cover letter describing background and research interests.
As a successful candidate, you will:
· 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.
Your qualifications should include:
· 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 have
· Prior experience and knowledge in diabetes and metabolic disease research would be considered a plus.
City of Hope employees pay is based on the following criteria: work experience, qualifications, and work location.
City of Hope is an equal opportunity employer.
Benefits
To learn more about our Comprehensive Benefits, please CLICK HERE.