Postdoctoral Fellow, Computational Biology & Multi-Omics AI

City of Hope; Duarte (CA); On-site; USD 60,000 - 80,000; Full time

Job summary

City of Hope's Department of Diabetes and Cancer Metabolism seeks a highly motivated Postdoctoral Fellow in Computational Biology/Bioinformatics to join an NIH R01-funded program focused on decoding cardiomyocyte subtype dynamics and heart failure mechanisms.

The successful candidate will lead computational analyses, develop ML/AI workflows, integrate multi-omics data, and collaborate with experimental teams to translate findings into testable hypotheses and high-impact publications.

Qualifications

• PhD or MD in bioinformatics, computational biology, genomics, computer science, biostatistics, biomedical sciences, or a related field.
• Strong experience in bioinformatics and analysis of high-dimensional genomic datasets.
• Strong programming skills in Python and/or R, and experience with Linux/HPC computing environments.
• Experience with single-cell RNA-seq, single-nucleus RNA-seq, sc/snATAC-seq, or multiome analysis.
• Strong analytical, problem-solving, scientific writing, and communication skills.

Responsibilities

• Lead computational analysis of single-cell/single-nucleus RNA-seq, ATAC-seq, and multiome datasets related to heart failure and cardiovascular biology.
• Develop and apply machine-learning and deep-learning approaches to identify disease-associated cardiomyocyte subtypes, cellular trajectories, and molecular drivers.
• Develop AI agents and LLM-based computational workflows for biomedical research, including automated dataset discovery, quality assessment, multi-omics analysis, biological interpretation, and hypothesis generation.
• Integrate transcriptomic, epigenomic, spatial transcriptomic, and other multi-omics datasets.
• Perform gene regulatory network, transcription factor, pathway, and cell-state analyses.
• Develop reproducible bioinformatics pipelines and computational tools using Python and/or R.
• Work closely with Dr. Ren and experimental and computational collaborators to translate computational discoveries into experimentally testable hypotheses.
• Contribute to manuscripts, conference presentations, grant-related research, and development of new research directions.

Skills

Bioinformatics expertise

Single-cell genomics experience

Analytical thinking

Scientific writing

Education

PhD or MD in bioinformatics/related field

Tools

Python

R

Linux/HPC

Job description

City of Hope's Department of Diabetes and Cancer Metabolism seeks a highly motivated Postdoctoral Fellow in Computational Biology/Bioinformatics to join an NIH R01-funded program focused on decoding cardiomyocyte subtype dynamics and heart failure mechanisms.

The successful candidate will lead computational analyses, develop ML/AI workflows, integrate multi-omics data, and collaborate with experimental teams to translate findings into testable hypotheses and high-impact publications.