Post-Doctoral Research Fellow – Functional Genomics
Core
Direct collaborative research initiatives to determine the functional impact of genomic variations in developmental, neuropsychiatric, and neurodegenerative disorders using computational biology and bioinformatics.
Role type
Post-doctoral research fellow (computational genomics)
Builds
Systematic computational frameworks for integrating multi-omics datasets and identifying high-confidence targets for therapeutic development.
Domain
Human genetics, statistical genetics, computational biology, neurodegenerative disorders
Deliverable
production ML models | research
Required skills
Statistical genetics, computational biology, next-generation sequencing data analysis (WGS, WES, RNAseq, ATACseq, scRNAseq), programming (R, Python, C++), multi-omics data integration, genome editing (CRISPR/Cas9) analysis
Preferred skills
Neurobiology knowledge, experience with iPSC-derived neuronal cells or 3D organoid models
Technologies
R, Python, C++, single-cell transcriptome sequencing, Hi-C, ATACseq, 4Cseq
Responsibilities
Develop computational frameworks for large-scale genomics datasets, synthesize multi-omics signals into biological models, prioritize targets for molecular investigation and therapeutic development, oversee studies on functional genomics analyses and multi-omics integration
Seniority
Post-doctoral fellow (recent PhD graduate)