PhD Student (m/w/d)
Core
Design and conduct genome-wide association studies (GWAS) and large-scale multi-ancestry meta-analyses to identify genetic variants associated with sleep disorders.
Role type
PhD researcher (genetic epidemiology and machine learning)
Builds
Reproducible analysis pipelines and scientific publications
Domain
Human genetics, bioinformatics, and precision medicine
Deliverable
research
Required skills
Python, R, statistical genetics, GWAS, machine learning, high-performance computing
Preferred skills
experience with international biobank datasets, causal inference
Technologies
Python, R, high-performance computing, cloud platforms
Responsibilities
Design and conduct GWAS and meta-analyses; Apply statistical genetics methods to prioritize disease-associated variants; Develop and benchmark machine-learning models for genetic risk prediction; Integrate genomic, clinical, and functional genomics data; Build reproducible analysis pipelines; Present research findings in international consortiums.
