Postdoctoral Research Associate - Computational Sciences
Core
Lead computationally focused scientific research projects to deconvolve the roles of chromatin-modifying enzymes and complexes in cancer-driving gene regulation genome-wide, specifically studying gene dysregulation and genome organization in pediatric cancers.
Role type
Postdoctoral Research Associate (Computational Biology)
Builds
Analytical software pipelines and research findings on gene regulation mechanisms in pediatric solid tumors
Domain
Oncology / Genomics / Bioinformatics
Deliverable
production ML models
Required skills
Python, R, high-throughput sequencing analysis, statistical modeling, data pipeline development, HPC cluster management, manuscript drafting
Preferred skills
applied high-throughput sequencing analysis (alignment, coverage quantification, multi-omic integration), experience with genomic toolkits (bedtools, samtools, HiCPro, Tuxedo tools), experience with R for visualization, understanding of gene expression mechanisms (transcription factors, enhancers, condensates)
Technologies
bedtools, samtools, HiCPro, Tuxedo tools, R, Python, HPC clusters
Responsibilities
Develop new computational methods for genomic data analysis; Identify, process, organize, interpret, review, and report relevant data; Direct data collection; Present research to colleagues and draft complex manuscripts; Collaborate on project and analysis design with multiple PIs and interdisciplinary teams
Seniority
Postdoctoral Researcher (Early Career)
