Postdoctoral Fellow - Human Genetics, Bhangale Lab
Core
Develop and apply novel statistical and computational methods to analyze large-scale human genomic data for rare coding variant association in neurodegenerative diseases like Parkinson's and ALS.
Role type
Postdoctoral Fellow (Computational Human Genetics)
Builds
Calibrated variant effect models and biological validation of computational findings for disease genes.
Domain
Human Genetics / Neurodegenerative Disease / Bioinformatics
Deliverable
production ML models
Required skills
Rare-variant association testing, Protein structure analysis, Machine learning-based variant interpretation, Large-scale genomic data analysis (WES/WGS), R or Python for statistical/bioinformatics analyses
Preferred skills
Experience with biobank-scale datasets, Cross-functional team leadership in computational biology
Technologies
R, Python, Whole-exome sequencing, Whole-genome sequencing
Responsibilities
Lead computational analysis of large-scale sequencing data to identify rare coding variants associated with Parkinson's disease and ALS; Develop methods integrating protein structural information to map disease-associated variant hotspots; Collaborate with experimental neuroscience teams for biological validation; Publish scientific or methodological papers.
Seniority
Postdoctoral Fellow, independent researcher