Postdoctoral Scholar - Research Associate
Core
Analyze in-house sequencing datasets and integrate multi-dimensional large-scale omics datasets (dry lab) to support cancer research.
Role type
Postdoctoral Research Associate (Computational Biology/Bioinformatics)
Builds
Computational infrastructure, web-based data analysis tools, and scientific manuscripts.
Domain
Cancer Biology / Genomics / Bioinformatics
Deliverable
production ML models | product features | research
Required skills
Scientific computing, algorithms, machine learning, statistics, R, Python, Unix/Linux environment
Preferred skills
Perl, Java, large omics data analysis, 3D epigenomics, long read sequencing
Technologies
R, Python, Unix/Linux, open-source software
Responsibilities
Install and maintain open-source software; build computational infrastructure; write scripts for next-generation sequencing analysis; develop web-based applications; prepare presentations and publish manuscripts; teach lab members
Seniority
Postdoctoral Scholar (0-1 year experience)