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
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
Preferred skills
Statistical genetics, Bioinformatics, Cross-functional team leadership
Technologies
R, Python, Whole-exome sequencing, Whole-genome sequencing
Responsibilities
Lead computational analysis of large-scale sequencing data, Develop methods integrating protein structural information, Collaborate with experimental neuroscience teams, Publish scientific or methodological papers
Seniority
Postdoctoral Fellow, Early Career Researcher