Doctoral Researcher (m/f/d)
Core
Develop algorithms, statistical methods, and software to automatically detect and analyze complex genetic variations in large-scale whole-genome sequencing datasets.
Role type
PhD researcher (bioinformatics/genomics)
Builds
Software tools for structural variant detection and analysis pipelines
Domain
Human genetics, genomics, bioinformatics
Deliverable
production ML models
Required skills
algorithm design, statistical modeling, C++, Python, Linux command line, Git, high-performance computing (HPC)
Preferred skills
WGS data analysis workflows, structural variant detection, synthetic data generation
Technologies
C++, Python, Git, HPC clusters
Responsibilities
Develop algorithms for processing long-read whole-genome sequencing datasets; Design and program software tools for structural variant detection; Benchmark and validate tools using synthetic and real patient datasets; Monitor international research trends in structural variation detection; Co-author publications and present findings at conferences