Post-Doctoral Research Fellow – gnomAD-LR
Core
Develop a population reference database for long-read genomes (gnomAD-LR) to enable broader adoption, improved variant interpretation, and disease gene discovery in developmental anomalies and neuropsychiatric disorders.
Role type
Post-doctoral research fellow (computational genomics)
Builds
Population reference database for long-read genomes (gnomAD-LR)
Domain
Genomics / Bioinformatics / Statistical Genetics
Deliverable
production ML models | research
Required skills
Statistical genetics, computational biology, next-generation sequencing data analysis, programming (R, Python, C++), advanced statistical methods, bioinformatics tools and databases
Preferred skills
Human genetics background, prior exposure to genome and transcriptome sequencing datasets
Technologies
R, Python, C++, next-generation sequencing data
Responsibilities
Analyze large-scale genome sequencing datasets of millions of individuals, contribute to collaborative research initiatives across institutions, oversee long-read genome sequencing project development
Seniority
Post-doctoral researcher